CN104244292A

CN104244292A - Processing method and processing device for optimization of communication network

Info

Publication number: CN104244292A
Application number: CN201410535257.7A
Authority: CN
Inventors: 王琳琳; 赵建平; 郭昕; 杨朝辉
Original assignee: Shenzhen Huawei Agisson Electric Co Ltd
Current assignee: Shenzhen Huawei Agisson Electric Co Ltd
Priority date: 2014-10-11
Filing date: 2014-10-11
Publication date: 2014-12-24
Also published as: WO2016055024A1; CN107113633A; CN107113633B

Abstract

An embodiment of the invention provides a processing method and a processing device for optimization of communication network. According to the processing method and the processing device for optimization of the communication network, during optimization of the communication network, an acquisition instruction can be respectively directly sent to a to-be-optimized antenna and an information processing module matched with the to-be-optimized antenna to acquire physical form parameter and a feature weight library and element patterns stored in a to-be-optimized antenna and acquire system parameter sent by the information processing module matched with the to-be-optimized antenna; thus, manual acquisition is omitted. After the data needed to be optimized are determined, the to-be-optimized antenna and the information processing module matched with the to-be-optimized antenna can be configured directly without manual configuration; accordingly, optimization efficiency and accuracy are improved.

Description

The processing method of optimizing communication network and device

Technical field

The embodiment of the present invention relates to communication technical field, particularly relates to a kind of processing method and device of optimizing communication network.

Background technology

Along with the fast development of wireless communication technique, the capacity, transmission rate etc. of people to communication system constantly propose higher requirement, a series of network capacity lift technique and framework are proposed successively, wherein most of technology is by improving the antenna in communication network or optimizing realization, when communication issue appears in such as, certain region in communication network, the antenna for this region is relevant is needed to adjust.

But when adjusting antenna, need to obtain the relevant parameter of antenna and the element pattern of antenna, wherein relevant parameter is specifically as the azimuth of antenna, angle of declination etc., usually these relevant informations need technical staff's field survey, and element pattern is provided by the manufacturer of antenna, differing greatly of the element pattern that different vendor provides, then can expect, to the whole network of communication network real-time be optimized time, the relevant parameter of required antenna and element pattern need labor intensive material resources to go to collect and safeguard, be not easy to staff be optimized communication network.

Summary of the invention

The embodiment of the present invention provides a kind of processing method and device of optimizing communication network, for improving optimization efficiency to antenna in communication network and accuracy.

First aspect, the embodiment of the present invention provides a kind of processing unit of optimizing communication network, comprising:

First determination module, for the position according to problem area in communication network, determines antenna to be optimized;

Sending module, obtains instruction for sending respectively to the message processing module of described antenna to be optimized and described antenna adaptation to be optimized; Described acquisition instruction for make described antenna to be optimized send feature weight storehouse that the physical aspect parameter of described antenna to be optimized and described antenna to be optimized store and element pattern, and makes the message processing module of described antenna adaptation to be optimized send the system parameters of described message processing module;

Receiver module, the feature weight storehouse stored for the physical aspect parameter and described antenna to be optimized that receive the antenna described to be optimized that described antenna to be optimized sends and element pattern, and the system parameters of the described message processing module of the message processing module transmission of described antenna adaptation to be optimized;

Second determination module, for according to described physical aspect parameter, described feature weight storehouse, element pattern and described system parameters, obtains the feature weight after the physical aspect parameter after optimizing, optimization and the system parameters after optimizing;

Configuration module, for using antenna to be optimized described in the physical aspect parameter configuration after described optimization, and uses the message processing module of the feature weight after optimizing and the described antenna adaptation to be optimized of system parameters configuration after optimizing;

Wherein, the feature weight after the physical aspect parameter after described optimization, optimization and the system parameters after described optimization are for making the communication quality of described problem area meet predetermined threshold value; Described feature weight storehouse comprises many groups weights that described antenna to be optimized is suitable for, and the Antenna Operation performance that in described many group weights, any two groups of weights are corresponding is not identical.

In conjunction with first aspect, in the first embodiment, the quantity of described antenna to be optimized is multiple, described second determination module specifically for

Successively according to the many groups weights in the feature weight storehouse of antenna storage to be optimized described in each, vectorial weighting is carried out to the element pattern that antenna to be optimized described in each stores, obtains the eigen beam storehouse of antenna to be optimized described in each; Each group of weights one_to_one corresponding in the described feature weight storehouse that each eigen beam in the eigen beam storehouse of antenna to be optimized described in any one and this antenna to be optimized store;

According to the system parameters of each eigen beam and the message processing module of antenna adaptation to be optimized described in each in the physical aspect parameter of antenna to be optimized described in each, element pattern and eigen beam storehouse, the eigen beam after adopting optimizing algorithm to obtain the optimization of antenna to be optimized described in each, optimize after physical aspect parameter and the message processing module of antenna adaptation to be optimized described in each optimization after system parameters;

According to the eigen beam after the described optimization of antenna to be optimized described in each, determine the feature weight after the optimization of antenna to be optimized described in each;

Described optimizing algorithm comprise in following method any one:

Algorithm, particle cluster algorithm, differential evolution algorithm are dispersed in heredity.

In conjunction with first aspect first execution mode, in this second embodiment, described first determination module specifically for

According to the position of problem area, determine at least one strong associated antenna; Described strong associated antenna carries the service of strong associated cell, and described strong associated cell is the neighbor cell of described problem area;

According to the position of associated antenna strong described in each, determine the weak rigidity antenna that described in each, strong associated antenna is corresponding; Weak rigidity antenna corresponding to described strong associated antenna is in the multiple antennas in described communication network, the shortest and do not carry the antenna of the service of described strong associated cell for any one with the distance of this strong associated antenna;

In conjunction with weak rigidity antenna described in associated antenna strong described in each and each, obtain antenna to be optimized described in each.

In conjunction with first aspect second execution mode, in the third embodiment, the priority of the optimization of strong associated antenna described in any one is higher than the priority of weak rigidity antenna described in any one.

In conjunction with first aspect the 3rd execution mode, in the 4th execution mode,

Physical aspect parameter after the optimization of any one antenna to be optimized and absolute value poor between the physical aspect parameter of this antenna to be optimized, be no more than the first change thresholding of this pending antenna,

The absolute value of difference between the system parameters of the signal processing module of the system parameters after the optimization of the signal processing module of any one antenna adaptation to be optimized and this antenna adaptation to be optimized, is no more than the second change thresholding of this pending antenna;

Then the first change thresholding of strong associated antenna described in any one is greater than the first change thresholding of weak rigidity antenna described in any one; Then the second change thresholding of strong associated antenna described in any one is greater than the second change thresholding of weak rigidity antenna described in any one.

In conjunction with first aspect the 4th execution mode, in the 5th execution mode,

If there is the first antenna in weak rigidity antenna described in each, then the physical aspect parameter after the optimization of the first antenna is identical with the physical aspect parameter of described first antenna;

System parameters after the optimization of the message processing module of described first antenna adaptation is identical with the system parameters of the message processing module of described first antenna adaptation;

Described first antenna is not with associated antenna co-sited strong described in any one and described problem area is not pointed at the azimuth of described first antenna.

Second aspect, the embodiment of the present invention provides a kind of processing method of optimizing communication network, comprising:

The processing unit of optimizing communication network, according to the position of problem area in communication network, determines antenna to be optimized;

The processing unit of described optimizing communication network sends respectively to the message processing module of described antenna to be optimized and described antenna adaptation to be optimized and obtains instruction; Described acquisition instruction for make described antenna to be optimized send feature weight storehouse that the physical aspect parameter of described antenna to be optimized and described antenna to be optimized store and element pattern, and makes the message processing module of described antenna adaptation to be optimized send the system parameters of described message processing module;

The feature weight storehouse that the physical aspect parameter of the antenna described to be optimized of the described antenna transmission to be optimized of processing unit reception of described optimizing communication network and described antenna to be optimized store and element pattern, and the system parameters of the described message processing module of the message processing module transmission of described antenna adaptation to be optimized;

The processing unit of described optimizing communication network, according to described physical aspect parameter, described feature weight storehouse, element pattern and described system parameters, obtains the feature weight after the physical aspect parameter after optimizing, optimization and the system parameters after optimizing;

The processing unit of described optimizing communication network uses antenna to be optimized described in the physical aspect parameter configuration after described optimization, and uses the message processing module of the feature weight after optimizing and the described antenna adaptation to be optimized of system parameters configuration after optimizing;

In conjunction with second aspect, in the first embodiment, the quantity of described antenna to be optimized is multiple, according to described physical aspect parameter, described feature weight storehouse, element pattern and described system parameters, obtain the feature weight after the physical aspect parameter after optimizing, optimization and the system parameters after optimizing, comprising:

The processing unit of described optimizing communication network is successively according to the many groups weights in the feature weight storehouse of antenna storage to be optimized described in each, vectorial weighting is carried out to the element pattern that antenna to be optimized described in each stores, obtains the eigen beam storehouse of antenna to be optimized described in each; Each group of weights one_to_one corresponding in the described feature weight storehouse that each eigen beam in the eigen beam storehouse of antenna to be optimized described in any one and this antenna to be optimized store;

The processing unit of described optimizing communication network according to the system parameters of each eigen beam and the message processing module of antenna adaptation to be optimized described in each in the physical aspect parameter of antenna to be optimized described in each, element pattern and eigen beam storehouse, the eigen beam after adopting optimizing algorithm to obtain the optimization of antenna to be optimized described in each, optimize after physical aspect parameter and the message processing module of antenna adaptation to be optimized described in each optimization after system parameters;

The processing unit of described optimizing communication network, according to the eigen beam after the described optimization of antenna to be optimized described in each, determines the feature weight after the optimization of antenna to be optimized described in each;

Described optimizing algorithm comprise in following method any one:

In conjunction with second aspect first execution mode, in this second embodiment, the described position according to problem area in communication network, determine antenna to be optimized, comprising:

The processing unit of described optimizing communication network, according to the position of problem area, determines at least one strong associated antenna; Described strong associated antenna carries the service of strong associated cell, and described strong associated cell is the neighbor cell of described problem area;

The processing unit of described optimizing communication network, according to the position of associated antenna strong described in each, determines the weak rigidity antenna that described in each, strong associated antenna is corresponding; Weak rigidity antenna corresponding to described strong associated antenna is in the multiple antennas in described communication network, the shortest and do not carry the antenna of the service of described strong associated cell for any one with the distance of this strong associated antenna;

The processing unit of described optimizing communication network, in conjunction with weak rigidity antenna described in associated antenna strong described in each and each, obtains antenna to be optimized described in each.

In conjunction with second aspect second execution mode, in the third embodiment, the priority of the optimization of strong associated antenna described in any one is higher than the priority of weak rigidity antenna described in any one.

In conjunction with second aspect the 3rd execution mode, in the 4th execution mode,

In conjunction with second aspect the 4th execution mode, in the 5th execution mode,

The embodiment of the present invention provides a kind of processing method and device of optimizing communication network, by processing method and the device of this optimizing communication network, to in the optimizing process of communication network, can send directly to the message processing module respectively to antenna to be optimized and antenna adaptation to be optimized and obtain instruction with the feature weight storehouse obtaining physical aspect parameter and described antenna to be optimized and store and element pattern, and the system parameters of the described message processing module of the message processing module transmission of described antenna adaptation to be optimized, do not need manually to participate in obtaining, and after determining each data after optimizing, can configure directly to the signal processing module of antenna to be optimized and antenna adaptation to be optimized, do not need manually to participate in configuration, improve optimization efficiency, and accuracy.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is the schematic diagram of the application system at the processing unit place of invention optimizing communication network;

Fig. 2 is the structural representation of the processing unit embodiment one of optimizing communication network of the present invention;

Fig. 3 is the schematic flow sheet of the processing method embodiment one of optimizing communication network of the present invention;

Fig. 4 is the scene schematic diagram of the embodiment of the present invention one;

Fig. 5 is the schematic flow sheet of the processing method embodiment one of optimizing communication network of the present invention.

Embodiment

For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.

The processing unit of the optimizing communication network that the present invention's each embodiment following provides, the mode of software and/or hardware can be adopted to realize, concrete, this processing unit can be the equipment applying network optimisation techniques, as common carrier is used for the server of supervisory communications network, wherein network optimisation techniques is specifically as follows SON (Self-Optimizing Network, self-optimizing network) technology, for SON technology, Fig. 1 is the schematic diagram of the application system at the processing unit place of optimizing communication network of the present invention.As shown in Figure 1, 36 base stations are had in communication network, each base station coverage 3 sectors, then amount to 108 sectors, for each sector, communication system in this sector at least comprises the antenna of the service of this sector of carrying and forms with the signal processing module of this antenna adaptation, for a sector of antenna 1 place base station coverage, this sector is when providing communication service, by the signal of antenna 1 receiving package of the service of this sector of carrying containing message, by the signal processing module D with this antenna 1 adaptation, process is carried out to signal subsequently and obtain message, finally select corresponding response according to this message, such as reply response message, then signal processing module D processes the signal obtaining comprising response message to response message, finally by antenna 1, the signal comprising response message is launched, wherein, each antenna is provided with control module C and memory module R, wherein control module C is made up of transducer and controller, transducer comprises: for measuring the gravity sensor of the angle of declination of antenna, for measure azimuth, highly, GPS (the Global Positioning System of longitude and latitude, global positioning system) transducer, and controller is specially angle of declination for control antenna and azimuth, and memory module R is made up of memory, for storing feature weight storehouse and the element pattern of this antenna, concrete, feature weight storehouse and element pattern be by the manufacturer of antenna stored in, manufacturer is according to the applicable whole scene of this antenna, for antenna is provided with feature weight storehouse, after this antenna is provided with the different weights in this feature weight storehouse, different service behaviours can be possessed, such as FAD (F-band A frequency range D frequency range) independent electrical tilt antenna, weights kind in its feature weight storehouse at least comprises F-band 90 degree of wave beam weights, 65 degree of wide deflection weights of ripple, 30 degree of wide deflection weights of ripple, shape of a saddle weights, the asymmetric weights in left and right, splitting weights, MIMO weights, and said units directional diagram at least can comprise: the 3D amplitude pattern of 8 port F-bands and 3D phase pattern,

Owing to there being 108 sectors, then corresponding exist 108 antennas, the extremely adaptive signal processing module D of these 108 antennas can optimize center S with SON and communicate, this SON optimizes center S and is specifically as follows the equipment of operator for supervisory communications network, and the processing unit of above-mentioned optimizing communication network be integrated in SON optimize in the heart, SON optimizes center by observing and controlling information management module M1, control the gravity sensor of each antenna, GPS transducer, controller: by storing information management module M2, control the memory of each antenna, by SIM system information management module M3, control the system parameters of each signal processing module D, system parameters comprises power, PCI (physical area numbering), data power configuration parameter is (as Pa, Pb), RRM (Radio Resource Management, RRM) parameter, handoff parameter etc.: and intracardiac electronic chart and the channel propagation model of also housing in SON optimization, business model, the actual relevant information for optimizing communication network such as test data of drawing in the net, in the application system shown in Fig. 1, the processing unit of optimizing communication network is specific as follows:

Fig. 2 is the structural representation of the processing unit embodiment one of optimizing communication network of the present invention.As shown in Figure 2, comprising:

First determination module 20, for the position according to problem area in communication network, determines antenna to be optimized;

Sending module 21, obtains instruction for sending respectively to the message processing module of described antenna to be optimized and described antenna adaptation to be optimized; Described acquisition instruction for make described antenna to be optimized send feature weight storehouse that the physical aspect parameter of described antenna to be optimized and described antenna to be optimized store and element pattern, and makes the message processing module of described antenna adaptation to be optimized send the system parameters of described message processing module;

Receiver module 22, the feature weight storehouse stored for the physical aspect parameter and described antenna to be optimized that receive the antenna described to be optimized that described antenna to be optimized sends and element pattern, and the system parameters of the described message processing module of the message processing module transmission of described antenna adaptation to be optimized;

Second determination module 23, for according to described physical aspect parameter, described feature weight storehouse, element pattern and described system parameters, obtains the feature weight after the physical aspect parameter after optimizing, optimization and the system parameters after optimizing;

Configuration module 24, for using antenna to be optimized described in the physical aspect parameter configuration after described optimization, and uses the message processing module of the feature weight after optimizing and the described antenna adaptation to be optimized of system parameters configuration after optimizing;

Composition graphs 1, in actual applications, for the problem area in network, first determination module of the processing unit of optimizing communication network utilizes SON to optimize center to should the actual test data of drawing in the net in region, obtain neighbor cell list, and the relevant sectors of problem area is found by neighbor cell list, will each antenna of the service of each relevant sectors be carried as antenna to be optimized further;

The sending module of the processing unit of optimizing communication network is by observing and controlling information management module, control module to antenna to be optimized sends and obtains instruction, measure the physical aspect parameter of antenna, and by the physical aspect parameter feedback of antenna to the receiver module of the processing unit of the optimizing communication network of intracardiac setting in SON optimization;

In addition, the processing unit of optimizing communication network is by storing information management module, memory module to antenna to be optimized sends and obtains instruction, then the memory module of each antenna to be optimized is then by the feature weight storehouse that stores separately and element pattern, feed back to SON optimize in the receiver module of processing unit of optimizing communication network of intracardiac setting;

The processing unit of optimizing communication network is by SIM system information management module, signal processing module to antenna adaptation to be optimized sends and obtains instruction, then system parameters is then fed back to the receiver module of the processing unit of the optimizing communication network of intracardiac setting in SON optimization by each signal processing module.

At the second determination module 23 according to described physical aspect parameter, described feature weight storehouse, element pattern and described system parameters, after obtaining the feature weight after the physical aspect parameter after optimizing, optimization and the system parameters after optimizing, configuration module 24 is by observing and controlling information management module, physical aspect parameter after optimization is sent to the control module of antenna to be optimized, the control module of antenna to be optimized is according to the physical aspect parameter after the optimization received subsequently, adjusts antenna to be optimized; Further, configuration module 24 is also by storing information management module, feature weight after the optimization of antenna to be optimized is configured to the signal processing module of antenna adaptation to be optimized, and by SIM system information management module, the system parameters after optimization is configured to the signal processing module of antenna adaptation to be optimized;

Further, the quantity of described antenna to be optimized is multiple, described second determination module 23 specifically for

Described optimizing algorithm comprise in following method any one:

Further, described first determination module 20 specifically for

Optionally, the priority of the optimization of strong associated antenna described in any one is higher than the priority of weak rigidity antenna described in any one.

Optionally, the physical aspect parameter after the optimization of any one antenna to be optimized and absolute value poor between the physical aspect parameter of this antenna to be optimized, be no more than the first change thresholding of this pending antenna,

Optionally, if there is the first antenna in weak rigidity antenna described in each, then the physical aspect parameter after the optimization of the first antenna is identical with the physical aspect parameter of described first antenna;

It should be noted that, each step one_to_one corresponding in the specific works process of above-mentioned modules and each embodiment of the method following, concrete implementation procedure and beneficial effect can with reference to each steps in each embodiment of the method following.

In the present embodiment, to in the optimizing process of communication network, can send directly to the message processing module respectively to antenna to be optimized and antenna adaptation to be optimized and obtain instruction with the feature weight storehouse obtaining physical aspect parameter and described antenna to be optimized and store and element pattern, and the system parameters of the described message processing module of the message processing module transmission of described antenna adaptation to be optimized, do not need manually to participate in obtaining, and after determining each data after optimizing, can configure directly to the signal processing module of antenna to be optimized and antenna adaptation to be optimized, do not need manually to participate in configuration, improve optimization efficiency, and accuracy.

Fig. 3 is the schematic flow sheet of the processing method embodiment one of optimizing communication network of the present invention.As shown in Figure 3, the processing unit that the executive agent of the present embodiment is the optimizing communication network shown in Fig. 2, the present embodiment can be applicable in the application system shown in Fig. 1, comprising:

The processing unit of S101, optimizing communication network, according to the position of problem area in communication network, determines antenna to be optimized;

Problem area is specially the region that communication quality does not meet predetermined threshold value, such as, for sector covers the region at leak place, also can be the region that traffic congestion or telecommunication service quality are not high; Fig. 4 is the scene schematic diagram of the embodiment of the present invention one.As shown in Figure 4, triangle is problem area, and " people " font symbol represents the base station arranged around triangle, and minor matters of being somebody's turn to do in " people " font symbol represent the antenna of a carrying sector service, namely in the present embodiment Fig. 4, a base station comprises 3 antennas, this base station coverage 3 sectors; When the problem in problem area is for covering leak, then can select the angle of declination of each antenna of the service regulating sector around carrying, to eliminate covering leak.Therefore, according to the position of problem area, above-mentioned SON is utilized to optimize center to should the actual test data of drawing in the net in region, from neighbor cell list, find the relevant sectors of problem area, further each is carried each antenna of the service of each relevant sectors as antenna to be optimized.

The processing unit of S102, optimizing communication network sends respectively to the message processing module of antenna to be optimized and antenna adaptation to be optimized and obtains instruction;

Described acquisition instruction for make described antenna to be optimized send feature weight storehouse that the physical aspect parameter of described antenna to be optimized and described antenna to be optimized store and element pattern, and makes the message processing module of described antenna adaptation to be optimized send the system parameters of described message processing module.

The feature weight storehouse that the physical aspect parameter that the processing unit of S103, optimizing communication network receives the antenna to be optimized that antenna to be optimized sends and antenna to be optimized store and element pattern, and the system parameters of the message processing module transmission of antenna adaptation to be optimized;

The processing unit of S104, optimizing communication network, according to physical aspect parameter, feature weight storehouse, element pattern and system parameters, obtains the feature weight after the physical aspect parameter after optimizing, optimization and the system parameters after optimizing.

Wherein, the feature weight after the physical aspect parameter after described optimization, optimization and the system parameters after described optimization are for making the communication quality of described problem area meet predetermined threshold value; That is, the feature weight after the physical aspect parameter after optimization, optimization and the system parameters after described optimization are for the communication issue in problem area;

Specifically, for the antenna that each is to be optimized, angle of declination in physical aspect parameter, system parameters is adjustable, and the weights of the respective available setting in feature weight storehouse also have many groups, but specifically by angle of declination, why system parameters adjustment is worth, selection arranges the problem which group weights just can be dealt with problems in region, need the processing unit of above-mentioned optimizing communication network to determine, and the optimisation technique that in the present embodiment, the processing module of optimizing communication network adopts is SON technology, then by each physical aspect parameter, feature weight storehouse described in each, unit directional diagram and system parameters described in each are as reference input value, to make every KPI (Key Performance Indicator of problem area, Key Performance Indicator) be infinitely tending towards or reach for the purpose of desired value, obtain the feature weight after making every KPI of problem area reach desired value or the optimization minimum with the difference of desired value, physical aspect parameter after optimization and the system parameters after optimizing,

For the partial data of two antennas to be optimized (antenna 1 and antenna 2), by the angle of declination of antenna 1, azimuth, highly, the feature weight storehouse of antenna 1, the transmitting power of message processing module setting and the angle of declination of antenna 2 of antenna 1 adaptation are, azimuth, highly, the feature weight storehouse of antenna 2, the transmitting power of the message processing module setting of antenna 2 adaptation is as reference input value, under highly nonadjustable constraint, according to the position of problem area in electronic chart, and the problem area demand known of actual measurement or add up or the propagation model that relates to around problem area, the information such as type of service, employing heredity is dispersed, particle cluster algorithm, the optimizing algorithms such as differential evolution algorithm, for antenna 1 and antenna 2 arrange suitable angle of declination and azimuth, and respective feature weight storehouse comprises many groups weights of each self application, for antenna 1 and antenna 2, the Antenna Operation performance that in many groups weights in respective feature weight storehouse, any two groups of weights are corresponding is not identical, therefore to make every KPI of problem area infinitely be tending towards or reach for the purpose of desired value, for the feature weight after optimizing selected by antenna 1 and antenna 2, same, the transmitting power of signal processing module adaptive separately also needs to arrange suitable value.

The processing unit of S105, optimizing communication network uses the physical aspect parameter configuration antenna to be optimized after optimizing, and uses the message processing module of the feature weight after optimizing and the described antenna adaptation to be optimized of system parameters configuration after optimizing.

In the present embodiment, the signal processing module of the antenna in communication network and antenna adaptation can according to the acquisition instruction of the processing module of optimizing communication network, report the physical aspect parameter of actual measurement, feature weight storehouse, element pattern and system parameters, the processing module being convenient to optimizing communication network determines the physical aspect parameter after optimizing, feature weight after optimization and the system parameters after optimizing, do not need to expend too much manually going acquisition or safeguard parameter (the i.e. above-mentioned physical aspect parameter needed for antenna optimization, feature weight storehouse, element pattern and system parameters), and the parameter obtained it also avoid artificial participate in causing inaccurate, feature weight storehouse in addition, element pattern is stored by antenna, even if antenna is changed in communication network, the processing module of optimizing communication network also can obtain feature weight storehouse and the element pattern of new antenna storage in time, and need antenna not store respective feature weight storehouse and element pattern in the prior art, but store by the equipment of supervisory communications network is unified and safeguards, once antenna is replaced, the equipment system of supervisory communications network can not upgrade the feature weight storehouse of antenna in communication network and element pattern in time, thus the effect of optimization that can affect communication network.

Fig. 5 is the schematic flow sheet of the processing method embodiment two of optimizing communication network of the present invention.As shown in Figure 5, the present embodiment is on the basis of the embodiment shown in composition graphs 1, makes further description:

The processing unit of S201, optimizing communication network, according to the position of problem area, determines at least one strong associated antenna;

Described strong associated antenna carries the service of strong associated cell, and described strong associated cell is the neighbor cell of described problem area; Such as, for the problem area in network, SON optimizes the problem area actual test data of center by storing, obtain the neighbor cell list of problem area, each community then in neighbor cell list is strong associated cell, and the antenna carrying these strong associated cell is then strong associated antenna.

The processing unit of S202, optimizing communication network, according to the position of each strong associated antenna, determines the weak rigidity antenna that each strong associated antenna is corresponding;

GPS transducer in strong associated antenna can measure the longitude and latitude knowing this antenna, and namely SON optimizes center by observing and controlling information management module, obtains the position of each strong associated antenna; And according to the position of strong associated antenna, determine the weak rigidity antenna that described in each, strong associated antenna is corresponding,

Concrete, the position of known strong associated antenna 1, then, in the multiple antennas in described communication network, determine that the distance of strong associated antenna 1 with this is the shortest and not for the antenna of associated antenna strong described in any one is weak rigidity antenna; That is the weak rigidity antenna that strong associated antenna is corresponding is in the multiple antennas in described communication network, the shortest and be not the antenna of associated cell strong described in any one with the distance of this strong associated antenna; If each antenna in solid circles in Fig. 4 is strong associated antenna, and each antenna between dotted line circle and solid circles is weak rigidity antenna.

The processing unit of S203, optimizing communication network, in conjunction with each strong associated antenna and each weak rigidity antenna, determines each antenna to be optimized.

That is totally 30 antennas in 10 base stations in Fig. 4 within dotted line circle are all antennas to be optimized.

Understandable, larger with the impact of antenna on problem area that problem area distance is nearer, therefore when dealing with problems the problem in region, the antenna that adjustment is far away with problem area, help little to the solution of problem area, can have an impact to other non-problems regions on the contrary, if the antenna to be optimized therefore chosen is too much, physical aspect parameter then after obtaining optimization subsequently, in the process of the feature weight after optimization and the system parameters after optimizing, cause amount of calculation larger, and excessive amount of calculation is unnecessary, when therefore selecting antenna to be optimized by above-mentioned S201 ~ S203, based on the distance between each antenna and problem area, take into full account the influence power of each antenna to problem area, thus the antenna to be optimized chosen is comparatively suitable.

Certain above-mentioned S201 ~ S203 is the present invention determining a kind of optional mode in sky to be optimized line process, not as restriction in practical application.

The processing unit of S204, optimizing communication network sends respectively to the message processing module of each antenna to be optimized and each antenna adaptation to be optimized and obtains instruction;

The feature weight storehouse that the physical aspect parameter that the processing unit of S205, optimizing communication network receives the antenna to be optimized that each antenna to be optimized sends and each antenna to be optimized store and element pattern, and the system parameters of the message processing module transmission of each antenna adaptation to be optimized.

The processing unit of S206, optimizing communication network, successively according to the many groups weights in the feature weight storehouse of each antenna storage to be optimized, carries out vectorial weighting to the element pattern that each antenna to be optimized stores, obtains the eigen beam storehouse of each antenna to be optimized;

Wherein, each group of weights one_to_one corresponding in the described feature weight storehouse that each eigen beam in the eigen beam storehouse of antenna to be optimized described in any one and this antenna to be optimized store.

With antenna 1 to be optimized, this antenna 1 to be optimized stores 35 stack features weights, the element pattern then making 35 stack features weights store with antenna 1 to be optimized successively carries out vectorial weighting, then obtain 35 eigen beam, and these 35 eigen beam form the eigen beam storehouse of antenna 1 to be optimized.

It should be noted that, in the algorithm in common optimisation technique, directly can not use the feature weight of antenna, need to obtain feature weight characteristic of correspondence wave beam in conjunction with the feature weight of antenna and the element pattern of this antenna; But the data volume of eigen beam is comparatively large, if be stored in the memory module of antenna by the eigen beam of antenna, then the memory space needed is comparatively large, causes the cost of manufacture of antenna higher; But in the present embodiment, each antenna can only store feature weight storehouse and element pattern, and the feature weight storehouse that the processing unit of optimizing communication network can store according to each antenna to be optimized obtained and element pattern, calculate the eigen beam storehouse knowing each antenna to be optimized.

The processing unit of S207, optimizing communication network according to the system parameters of the message processing module of each eigen beam and each antenna adaptation to be optimized in the physical aspect parameter of each antenna to be optimized, element pattern and eigen beam storehouse, the eigen beam after adopting optimizing algorithm to obtain the optimization of each antenna to be optimized, optimize after physical aspect parameter and the message processing module of antenna adaptation to be optimized described in each optimization after system parameters.

Concrete as aforementioned S104.

In addition, taking after aforementioned S201 ~ S203 determines antenna to be optimized, optionally, when performing S207, consider that strong associated antenna is different with the influence power of weak rigidity antenna to problem area, when adopting optimizing algorithm, the priority of the optimization of strong associated antenna described in any one is higher than the priority of weak rigidity antenna described in any one; Concrete, physical aspect parameter after the optimization of any one pending antenna and absolute value poor between the physical aspect parameter of this pending antenna, be no more than the first change thresholding of this pending antenna, the absolute value of difference between the system parameters of the signal processing module of the system parameters after the optimization of the signal processing module of any one pending antenna adaptation and this pending antenna adaptation, is no more than the second change thresholding of this pending antenna; Then the first change thresholding of strong associated antenna described in any one is greater than the first change thresholding of weak rigidity antenna described in any one; Then the second change thresholding of strong associated antenna described in any one is greater than the second change thresholding of weak rigidity antenna described in any one.

For example, during for strong associated antenna employing optimizing algorithm, angle of declination in the physical aspect parameter of this strong associated antenna is 5 degree, and the adjustable scope of this angle of declination is 5 degree, angle of declination after the optimization of i.e. strong associated antenna can be 0 ~ 10 degree, wherein adjustable scope (5 degree) is above-mentioned first change thresholding, and the angle of declination in the physical aspect parameter of weak rigidity antenna is 4 degree, and adjustable scope is 2 degree, angle of declination after the optimization of i.e. weak rigidity antenna can be 2 ~ 6 degree, wherein adjustable range (2 degree) is the first change thresholding of weak rigidity antenna, contrast known, first change thresholding of weak rigidity antenna is less than the first change thresholding of strong associated antenna, and for the transmitting power in system parameters, transmitting power in the system parameters of the signal processing module of strong associated antenna adaptation is 40, and adjustable scope is 30, transmitting power after the optimization of the i.e. signal processing module of strong associated antenna adaptation can be 10 ~ 70, wherein adjustable scope (30) is above-mentioned second change thresholding, and the transmitting power in the system parameters of the signal processing module of weak rigidity antenna adaptation is 30, and adjustable scope is 15, transmitting power after the optimization of the i.e. signal processing module of weak rigidity antenna adaptation can be 15 ~ 45 degree, wherein adjustable range (15) is the second change thresholding of weak rigidity antenna, contrast known, second change thresholding of weak rigidity antenna is less than the second change thresholding of strong associated antenna.

It should be added that, concerning an antenna, first change thresholding and the second change thresholding can have multiple, and concrete numerical value can not be identical, namely be all called the first change thresholding for each adjustable range of parameters in physical aspect parameter, and be all called the second change thresholding for each adjustable range of parameters in system parameters; With the first change thresholding for example, parameter adjustable in physical aspect parameter only has angle of declination and azimuth, physical aspect parameter after the optimization of above-mentioned pending antenna and exhausted angle value poor between the physical aspect parameter of this pending antenna, specifically comprise: the absolute value of difference between the angle of declination after the optimization of the angle of declination of antenna to be optimized and this antenna to be optimized, the absolute value of difference between azimuth after the optimization of the azimuth of antenna to be optimized and this antenna to be optimized, namely the first change thresholding of this pending antenna is two;

It should be noted that, when the first change thresholding or the second change thresholding of stronger associated antenna and weak rigidity antenna, first change thresholding of strong associated antenna and the first change thresholding of weak rigidity antenna for same parameter, such as, all refer to the adjustable range of angle of declination; Same, the second change thresholding of strong associated antenna and the second change thresholding of weak rigidity antenna are also for same parameter.

Optionally, when carrying out optimizing algorithm, also can not be optimized part weak rigidity antenna, alternatively, the physical aspect parameter after the optimization of the first antenna is identical with the physical aspect parameter of described first antenna; System parameters after the optimization of the message processing module of described first antenna adaptation is identical with the system parameters of the message processing module of described first antenna adaptation; Even there is the first antenna in weak rigidity antenna described in each, then do not obtain the system parameters after the optimization of the message processing module of the physical aspect parameter after the first antenna optimization and described first antenna adaptation;

Described first antenna is not with associated antenna co-sited (namely the first antenna is weak rigidity antenna but is positioned on same base station with strong associated antenna) strong described in any one and described problem area is not pointed at the azimuth of described first antenna.

Judge that the process of the azimuth sensing problem area of weak rigidity antenna is as follows:

S1, problem area is divided into N number of discrete longitude and latitude

If the problem area in Fig. 4 is triangle, then can choose the longitude and latitude of this Atria summit and triangle center point.

Each straight line that S2, the position (being specially the longitude and latitude of antenna 1) determining antenna 1 and each discrete longitude and latitude are formed, and calculate the angle between each straight line and direct north;

S3, calculate the absolute value of the difference between angle between each straight line and direct north and the azimuth of antenna 1;

In the absolute value of the difference between S4, angle between each straight line and direct north and the azimuth of antenna 1, there is the value that at least one is not more than 60 degree, then determine that problem area is pointed at the azimuth of antenna 1.

The processing unit of S208, optimizing communication network uses each antenna to be optimized of physical aspect parameter configuration after the optimization of each antenna to be optimized, and use the system parameters after the optimization of the message processing module of the feature weight after the optimization of each antenna to be optimized and each antenna adaptation to be optimized, configure the message processing module of each antenna adaptation to be optimized.

One of ordinary skill in the art will appreciate that: all or part of step realizing above-mentioned each embodiment of the method can have been come by the hardware that program command is relevant.Aforesaid program can be stored in a computer read/write memory medium.This program, when performing, performs the step comprising above-mentioned each embodiment of the method; And aforesaid storage medium comprises: ROM, RAM, magnetic disc or CD etc. various can be program code stored medium.

Last it is noted that above each embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to foregoing embodiments to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein some or all of technical characteristic; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.

Claims

1. a processing unit for optimizing communication network, is characterized in that, comprising:

2. processing unit according to claim 1, is characterized in that, the quantity of described antenna to be optimized is multiple, described second determination module specifically for

Described optimizing algorithm comprise in following method any one:

3. processing unit according to claim 2, is characterized in that, described first determination module specifically for

4. processing unit according to claim 3, is characterized in that, the priority of the optimization of strong associated antenna described in any one is higher than the priority of weak rigidity antenna described in any one.

5. processing unit according to claim 4, is characterized in that,

6. processing unit according to claim 5, is characterized in that, if there is the first antenna in weak rigidity antenna described in each, then the physical aspect parameter after the optimization of the first antenna is identical with the physical aspect parameter of described first antenna;

7. a processing method for optimizing communication network, is characterized in that, comprising:

8. processing method according to claim 6, it is characterized in that, the quantity of described antenna to be optimized is multiple, according to described physical aspect parameter, described feature weight storehouse, element pattern and described system parameters, obtain the feature weight after the physical aspect parameter after optimizing, optimization and the system parameters after optimizing, comprising:

Described optimizing algorithm comprise in following method any one:

9. processing method according to claim 8, is characterized in that, the described position according to problem area in communication network, determines antenna to be optimized, comprising:

10. processing method according to claim 9, is characterized in that, the priority of the optimization of strong associated antenna described in any one is higher than the priority of weak rigidity antenna described in any one.

11. processing methods according to claim 10, is characterized in that,

12. processing methods according to claim 11, is characterized in that, if there is the first antenna in weak rigidity antenna described in each, then the physical aspect parameter after the optimization of the first antenna is identical with the physical aspect parameter of described first antenna;