CN104540139B - Isomery UNE resource allocation methods and system - Google Patents
Isomery UNE resource allocation methods and system Download PDFInfo
- Publication number
- CN104540139B CN104540139B CN201410728976.0A CN201410728976A CN104540139B CN 104540139 B CN104540139 B CN 104540139B CN 201410728976 A CN201410728976 A CN 201410728976A CN 104540139 B CN104540139 B CN 104540139B
- Authority
- CN
- China
- Prior art keywords
- network
- user
- users
- resources
- lte network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 71
- 238000013468 resource allocation Methods 0.000 title claims abstract description 29
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 24
- 230000003287 optical effect Effects 0.000 claims description 25
- 238000002347 injection Methods 0.000 claims description 22
- 239000007924 injection Substances 0.000 claims description 22
- 230000008569 process Effects 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000009826 distribution Methods 0.000 abstract description 3
- 239000013307 optical fiber Substances 0.000 abstract 5
- 238000007726 management method Methods 0.000 description 13
- 238000004891 communication Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 7
- 238000004088 simulation Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 4
- 230000004927 fusion Effects 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000006872 improvement Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000005855 radiation Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 101100497221 Bacillus thuringiensis subsp. alesti cry1Ae gene Proteins 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005670 electromagnetic radiation Effects 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000009827 uniform distribution Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/11—Arrangements specific to free-space transmission, i.e. transmission through air or vacuum
- H04B10/114—Indoor or close-range type systems
- H04B10/116—Visible light communication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
- H04W16/10—Dynamic resource partitioning
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/34—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/34—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading
- H04W52/346—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading distributing total power among users or channels
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/51—Allocation or scheduling criteria for wireless resources based on terminal or device properties
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Mobile Radio Communication Systems (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The present invention relates to a kind of isomery UNE resource allocation methods and system, this method to include：S1, judge in visible optical-fiber network and LTE network while the target environment of covering, whether the visible optical-fiber network is in upstate, it is if available, the user in the target environment is then accessed into the visible optical-fiber network, and enters step S2, if unavailable, the user in the target environment is then accessed into the LTE network, and enters step S3；S2, it is the frequency resource that user distributes visible optical-fiber network by extremum method, is the power resource that user distributes visible optical-fiber network according to the attribute information of the visible ray network channel；S3, it is the frequency resource that user distributes LTE network according to the bandwidth demand of user, by improving power resource of the water flood for user's distribution LTE network.By technical scheme, can more reasonably classify power resource and frequency resource for user in the environment that isomery UNE covers.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a heterogeneous convergence network resource allocation method and a heterogeneous convergence network resource allocation system.
Background
Visible light communication is an emerging wireless communication technology developed on the basis of white Light Emitting Diode (LED) technology. The wireless communication system organically combines illumination and communication, and has the characteristics of abundant spectrum resources, low energy consumption, low radiation, high confidentiality and the like compared with the traditional wireless access technology. However, the visible light channel is greatly affected by the path loss and the shadow effect, so that the coverage area of the visible light channel is limited, and independent light signals are difficult to meet the access requirements of mobile users, therefore, the visible light communication and the existing wireless access technology are organically integrated and complementary in advantages, and the construction of a visible light heterogeneous fusion network becomes one of the key technologies of the visible light communication.
In a visible light communication heterogeneous network fusion environment, from horizontal analysis, heterogeneous resources are derived from different access networks, each access network has different network capabilities in the aspects of system capacity, coverage, data rate and mobility support, and has different resource granularity division and allocation mechanisms, and in order to realize resource sharing, overall distribution and management of each network resource across systems are carried out; in a longitudinal view, heterogeneous resources come from different attribute domains, for example, visible light has the characteristics of low cost, nature, greenness, low electromagnetic radiation and the like, infrared light has the characteristics of low power, high safety and the like, and in order to realize heterogeneous fusion, the relationship among the resources in the system needs to be coordinated, so that the microscopic adjustment and optimization of the resources are realized. Due to the multi-domain and multi-dimensional performance of heterogeneous resources and coupling relations thereof in the environment of coexistence of multiple short-distance communication technologies, due to the flexible and adaptable characteristic of heterogeneous resource allocation brought by the complex environment of multiple users, multiple services and multiple networks, great challenges are brought to the research of resource management. Therefore, a brand-new united network resource management mechanism is urgently needed to be researched, dynamic adjustment of access permission, intelligent united session and heterogeneous multi-connection cooperative transmission are supported, various resources of the visible light communication heterogeneous network are finally utilized economically and efficiently, and the capacity of the whole network and the service coverage range are expanded.
The resource management mechanism for visible light can improve the performance of the visible light heterogeneous wireless network based on the management mode of the IEEE802.l5.7MAC layer. The core idea of the joint radio resource management algorithm is to add a set of centralized joint control entity on different radio access network architectures, wherein the joint management entity is independent of various radio access technologies, is an execution point of resource management and mainly executes joint admission control, joint switching control, joint resource allocation and joint time scheduling. The system performs combined call admission control, resource scheduling and load control on the heterogeneous wireless network through the control entity, thereby realizing the optimal utilization of the whole network resources. The improvement of the network performance is mainly embodied in the aspects of optimizing the spectrum utilization efficiency of the heterogeneous wireless network, reducing service processing time delay, improving system throughput, reducing processing complexity and the like, and meanwhile, the heterogeneous wireless network system can carry out self-adaptive scheduling on various mixed service types.
Disclosure of Invention
The invention aims to solve the technical problem of how to reasonably distribute frequency resources and power resources for users in an environment fusing a visible light network and an LTE network and improve the experience of the users accessing the network in the environment.
To this end, the invention provides a heterogeneous converged network resource allocation method, which comprises the following steps: s1, judging whether the visible optical network is in an available state in a target environment covered by the visible optical network and the LTE network at the same time, if so, accessing the user in the target environment to the visible optical network, and going to step S2, and if not, accessing the user in the target environment to the LTE network, and going to step S3; s2, distributing frequency resources of the visible light network for the user by an extreme method, and distributing power resources of the visible light network for the user according to the attribute information of the visible light network channel; and S3, distributing the frequency resource of the LTE network for the user according to the bandwidth requirement of the user, and distributing the power resource of the LTE network for the user by improving a water injection method.
Preferably, the method further comprises the following steps: s4, repeating the step S2 and/or the step S3 to adjust the access network of the user by an exhaustive search method, and reallocating frequency resources and power resources to the user; s5, repeating the step S4 until the throughput of the target environment is not increased any more.
Preferably, the improved water injection method comprises: calculating a power resource average value according to the number of users accessing the LTE network and the sum of the power resources of the LTE network, distributing the power resources of the LTE network for the users by a water injection method, distributing the resource power average value for the users with zero distributed power resources, and iterating until the power resources of no user are zero.
Preferably, before the step S1, the method further includes: and S0, arranging the users in a descending order according to the bandwidth requirements of the users.
Preferably, the step S1 further includes: and when the visible light network is available, accessing the user with the bandwidth requirement larger than a preset value in the target environment to the visible light network, and accessing other users to the LTE network.
The invention also provides a heterogeneous converged network resource allocation system, which comprises: the judging unit is used for judging whether the visible optical network is in an available state or not in a target environment covered by the visible optical network and the LTE network at the same time; an access unit, configured to access a user in the target environment to the visible optical network when the visible optical network is in an available state, and access the user in the target environment to the LTE network when the visible optical network is in an unavailable state; the resource allocation unit allocates frequency resources of the visible optical network to the user through an extreme method, allocates power resources of the visible optical network to the user according to the attribute information of the visible optical network channel, and/or allocates frequency resources of the LTE network to the user according to the bandwidth requirement of the user, and allocates the power resources of the LTE network to the user through an improved water injection method.
Preferably, the method further comprises the following steps: and the adjusting unit is used for adjusting the access network of the user by an exhaustive search method, wherein the resource allocating unit is also used for reallocating the frequency resource and the power resource to the user in the process of adjusting the access network of the user by the adjusting unit until the throughput of the target environment is not improved any more.
Preferably, the resource allocation unit is configured to calculate a power resource average value according to the number of users accessing the LTE network and the sum of power resources of the LTE network, allocate power resources of the LTE network to the users by a water injection method, allocate the resource power average value to the users whose allocated power resources are zero, and iterate until the power resources of no user are zero.
Preferably, the method further comprises the following steps: and the sequencing unit is used for sequencing the users in a descending order according to the bandwidth requirements of the users.
Preferably, the access unit is further configured to access the user whose bandwidth requirement in the target environment is greater than a preset value to the visible light network and access other users to the LTE network when the visible light network is available.
Through the technical scheme, the access network can be selected for the user according to the user request and the network condition; secondly, allocating frequency resources for users according to user service requests, and allocating power resources for the users by using an improved water injection method; thirdly, detecting whether the user access network is optimal (namely whether the throughput is not improved), and if not, reselecting the access network for the user; and finally, distributing frequency resources for the users by using an extreme method, and distributing power resources for the users by using an improved water injection method. The improved water injection method not only allocates resources to users under the channel condition, but also enables each user to have better experience and improves the fairness of the users. And by comprehensively considering the resource allocation conditions of the visible light network and the LTE network, the power resources and the frequency resources can be more reasonably classified for users in the environment covered by the heterogeneous converged network.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
fig. 1 is a schematic flow chart of a heterogeneous converged network resource allocation method according to one embodiment of the present invention;
fig. 2 is a specific schematic block diagram of a heterogeneous converged network resource allocation method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a heterogeneous converged network resource allocation method according to one embodiment of the present invention;
fig. 4 shows a throughput diagram of a heterogeneous converged network resource allocation system according to one embodiment of the invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
As shown in fig. 1, a method for allocating heterogeneous converged network resources according to an embodiment of the present invention includes: s1, judging whether the visible light network is in an available state in a target environment covered by the visible light network and the LTE network at the same time, if so, accessing the user in the target environment to the visible light network, and going to step S2, and if not, accessing the user in the target environment to the LTE network, and going to step S3; s2, distributing the frequency resource of the visible light network for the user by an extreme method, and distributing the power resource of the visible light network for the user according to the attribute information of the visible light network channel; and S3, distributing the frequency resource of the LTE network for the user according to the bandwidth requirement of the user, and distributing the power resource of the LTE network for the user by improving a water injection method.
The present invention is based on an improvement of the idea of Joint Radio Resource Management (JRRM). The method has the advantages that the average resource utilization rate of the heterogeneous network system can be improved through a load balancing mechanism, the most appropriate wireless bearer is selected for different types of services through unified management and comprehensive consideration, and the service quality management capability of the network is further enhanced. In the heterogeneous wireless network convergence system, the scheme can obviously improve the utilization efficiency of system resources no matter aiming at real-time services or non-real-time services.
According to the technical scheme of the invention, on one hand, the whole capacity of the visible light heterogeneous wireless network can be improved, and under the condition of covering the same number of cells, the number of users of the visible light heterogeneous wireless network capable of providing services is obviously increased by adopting the resource management mode of the invention on the premise of not increasing network resources. On the other hand, the service quality of the visible light heterogeneous network can be improved, and for real-time services, the heterogeneous wireless network system can obviously reduce the service blocking rate and the call drop rate by carrying out load balancing on the selection of various access networks in the call control and switching processes; for non-real-time services, the effects of reducing service delay and improving the average throughput of the system can be achieved by selecting and shunting the network.
Specific scenario examples are as follows:
the target environment is a visible light and LTE heterogeneous fusion network, and the floor area is 5 multiplied by 9m2In the three-layer office building, all areas are simultaneously covered by a network (visible light) and a network (LTE), the heterogeneous network access point set is M ═ {1,2,3,4 … … M }, and the user set is N ═ 1,2,3,4 … … N }. Wherein the LTE network has one access point, the VLAN has three access points, and each access point shares bandwidth resources of 10 MHz. The LTE network has 3MHz bandwidth, and the VLAN network has 30MHz bandwidth. The LTE network is an OFDM system, and the VLAN is the OFDM system. The set of subchannels of the LTE network is L ═ 1,2,30. Each user can only select one network.
Wherein,indicating that the user i selects the a network, it indicates that the user i selects the b network,to avoid causing co-channel interference within a cell, each frequency resource block is allocated to at most one user.
In LTE networks, each subchannel can only be allocated to one user, i.e. si,l1 denotes that user i selects the l-th channel in b-network, si,l∈{0,1}。Indicating that user i selects the transmit power on channel l in the b-network,indicating the bandwidth of user i in the a-network,representing the channel gain of user i on the downlink channel i in the b-network.Representing the downlink transmit power of user i in network a,representing the channel gain on the downlink channel in the a-network for user i.For a network downlink channel noise power spectral density, N0B network downlink channel noise power spectral density.
Then, the transmission rate of user i in the a network
Transmission rate of user i in b network
The total throughput of the system can then be found to be
The mathematical model of the optimization problem with the system throughput as the objective function is as follows
The constraints are as follows:
wherein, BaRepresenting the total bandwidth limit, P, of the network abmaxRepresenting the total power limit of the network b in the office.
Compared with LTE, the visible light has the advantages of high data transmission rate, rich bandwidth resources, no harm to human bodies and the like, so that visible light network resources are preferentially allocated to users in offices. And under the condition that the visible light network resources are available, the user is preferentially accessed to the three access points of the visible light network. Suppose power p in a visible optical networkiUniform distribution of. In LTE, the carrier power is adjustable.
Thus, the above problem can be broken down into two sub-problems. One is that frequency allocation maximizes throughput, and the corresponding objective function is:
the constraint conditions are as follows:
a network is visible light, thenThe direct path loss of visible light can be obtained by the following equation.
Where m is the radiation pattern of the light source, A is the photodetector receiving area, DdIs the distance between the transmitting end and the receiving endIs the angle of incidence, phi is the angle of emission,is the optical filter gain, g (phi) is the optical concentrator gain, phicIs receivingThe receiver viewing angle, or FOV, may receive LED power when the angle of incidence is less than the FOV, otherwise the receiver cannot receive light energy. m is 1, Ts(φ)＝1,g(φ)＝1,A＝1cm2。
Secondly, the power allocation maximization total throughput objective function is as follows:
the constraint conditions are as follows:
one of the sub-problems is solved first, and then the optimal solution of the other variable is solved under the condition of determining frequency (or bandwidth) resources. That is, frequency resources are allocated to users first, and then power resources are allocated to users.
By selecting the access network for the user according to the user request and the network condition, allocating frequency resources for the user according to the user service request and allocating power resources for the user by using an improved water injection method, each user can have better experience, and the fairness of the user is improved. And by comprehensively considering the resource allocation conditions of the visible light network and the LTE network, the power resources and the frequency resources can be more reasonably classified for users in the environment covered by the heterogeneous converged network.
And the method takes the maximization of the total throughput of the system as an optimization target, simultaneously meets the system bandwidth constraint and the total power limit, and performs joint allocation on the system frequency and power resources. An exhaustive search iteration method is used for selecting an access network and optimal bandwidth and power resources for a user, and resource allocation is simplified into two sub-allocation problems: 1) and allocating frequency resources to the users by utilizing the concavity of the problem and an extreme method. 2) The improved water filling power distribution algorithm is provided by considering the QoS (Quality of Service) requirement of users and the channel utilization rate and considering the fairness among the users. The invention researches a resource management method of the visible light heterogeneous network based on the IP layer, can improve the system throughput and improve the system fairness.
As shown in fig. 3, it preferably further includes: s4, repeating the step S2 and/or the step S3 to adjust the access network of the user by an exhaustive search method, and reallocating frequency resources and power resources to the user; s5, repeating the step S4 until the throughput of the target environment is not increased any more.
By adjusting the access network, whether the access network of the user is optimal (namely whether the throughput is not improved) can be detected, and if not, the access network is reselected for the user, so that the access network is adjusted to be in an optimal state to ensure that the throughput of the access network is optimal.
Preferably, the improved water injection method comprises: calculating a power resource average value according to the number of users accessing the LTE network and the sum of power resources of the LTE network, distributing the power resources of the LTE network for the users by a water injection method, distributing the resource power average value for the users with zero distributed power resources, and iterating until the power resources of no user are zero.
Through improving the water injection method, not only the channel condition is used for allocating resources for the users, each user can be allocated with certain power resources, and the fairness of the users is improved.
Preferably, before step S1, the method further includes: and S0, arranging the users in a descending order according to the bandwidth requirements of the users.
The users are sequenced before processing, so that the users can be conveniently controlled to access according to the bandwidth requirement in the subsequent processing process.
Preferably, step S1 further includes: when the visible light network is available, the user with the bandwidth requirement larger than the preset value in the target environment is accessed to the visible light network, and other users are accessed to the LTE network.
When the visible light network is available, only part of users with larger bandwidth requirements can be accessed to the visible light network, and other users with smaller bandwidth requirements can be accessed to the LTE network, so that the visible light network can be fully utilized, the LTE network can also be properly utilized, the visible light network with low energy consumption and low radiation can be accessed for the users with larger bandwidth requirements, and excessive load pressure can not be caused on the visible light network.
As shown in fig. 2, the present invention further provides a heterogeneous converged network resource allocation system 10, which includes: the judging unit 11 is configured to judge whether the visible light network is in an available state in a target environment covered by the visible light network and the LTE network at the same time; the access unit 12 is configured to access a user in the target environment to the visible light network when the visible light network is in an available state, and access the user in the target environment to the LTE network when the visible light network is in an unavailable state; the resource allocation unit 13 allocates frequency resources of the visible light network to the user by an extreme method, allocates power resources of the visible light network to the user according to the attribute information of the visible light network channel, and/or allocates frequency resources of the LTE network to the user according to the bandwidth requirement of the user, and allocates power resources of the LTE network to the user by an improved water injection method.
Preferably, the method further comprises the following steps: and an adjusting unit 14, configured to adjust the access network of the user through an exhaustive search method, where the resource allocating unit is further configured to reallocate the frequency resource and the power resource for the user in a process of adjusting the access network of the user by the adjusting unit until the throughput of the target environment is no longer improved.
Preferably, the resource allocation unit 13 is configured to calculate a power resource average value according to the number of users accessing the LTE network and the sum of power resources of the LTE network, allocate power resources of the LTE network to the users by a water injection method, allocate a resource power average value to the users whose allocated power resources are zero, and iterate until the power resources of no user are zero.
Preferably, the method further comprises the following steps: and the sorting unit 15 is used for sorting the users in a descending order according to the bandwidth requirements of the users.
Preferably, the access unit 12 is further configured to access the user with the bandwidth requirement greater than the preset value in the target environment to the visible light network and access other users to the LTE network when the visible light network is available.
The performance of the algorithm proposed by the present invention is evaluated by a simulation experiment of the system throughput as follows. In the simulation experiment, the performance comparison table of the algorithm provided by the invention and the resource allocation free method (NS, No strategy), the water-filling iteration method (WFI), and the water-filling extreme value method (WFE) in the prior art is shown as follows.
| Cell type | City micro honeycomb |
| Radius of cell | 500m |
| Shadow fading | Log-normal with 10dB Std.Dev |
| Path loss, d in km | 148.53+38*log10(d) |
TABLE 1
Table 1 shows a simulated cell channel model.
| Parameter(s) | LTE | Visible light |
| System bandwidth | 3MHz | 30MHz |
| Cell antenna transmit power | 45dBm | 43dBm |
| Thermal noise power density | -174dBm/Hz | -42.72dBm/Hz |
TABLE 2
Table 2 shows the algorithm simulation parameter settings of the present invention.
According to the simulation environment of table 1 and the simulation parameters of table 2, a throughput curve graph as shown in fig. 4 can be obtained, where the WFIE curve is a throughput curve obtained by simulation according to the algorithm proposed in the present invention, and as can be seen, compared with the non-resource allocation method (NS, No strategy), the water-filling iteration method (WFI, water-filling-iteration) and the water-filling extreme value method (WFE, water-filling-extreme) in the prior art, when there are many users (greater than 60), the throughput curve graph has a higher throughput, so that the network resources in the environment can be better utilized. Simulation results show that the algorithm and the framework have strong adaptability to a user model, the service quality of a user is guaranteed while the system throughput is improved, and the purpose of algorithm design is achieved.
In the present invention, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The term "plurality" means two or more unless expressly limited otherwise.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A heterogeneous converged network resource allocation method is characterized by comprising the following steps:
s1, judging whether the visible optical network is in an available state in a target environment covered by the visible optical network and the LTE network at the same time, if so, accessing the user in the target environment to the visible optical network, and going to step S2, and if not, accessing the user in the target environment to the LTE network, and going to step S3;
s2, distributing frequency resources of the visible light network for the user by an extreme method, and distributing power resources of the visible light network for the user according to the attribute information of the visible light network channel;
s3, distributing frequency resources of the LTE network for the user according to the bandwidth requirement of the user, and distributing power resources of the LTE network for the user by an improved water injection method;
s4, repeating the step S2 and/or the step S3 to adjust the access network of the user by an exhaustive search method, and reallocating frequency resources and power resources to the user;
s5, repeating the step S4 until the throughput of the target environment is not increased any more;
wherein the improved water injection method comprises: calculating a power resource average value according to the number of users accessing the LTE network and the sum of the power resources of the LTE network, distributing the power resources of the LTE network for the users by a water injection method, distributing the resource power average value for the users with zero distributed power resources, and iterating until the power resources of no user are zero.
2. The method for allocating heterogeneous converged network resources according to claim 1, further comprising, before the step S1:
and S0, arranging the users in a descending order according to the bandwidth requirements of the users.
3. The method for allocating resources in a heterogeneous converged network according to claim 1, wherein the step S1 further comprises: and when the visible light network is available, accessing the user with the bandwidth requirement larger than a preset value in the target environment to the visible light network, and accessing other users to the LTE network.
4. A heterogeneous converged network resource allocation system, comprising:
the judging unit is used for judging whether the visible optical network is in an available state or not in a target environment covered by the visible optical network and the LTE network at the same time;
an access unit, configured to access a user in the target environment to the visible optical network when the visible optical network is in an available state, and access the user in the target environment to the LTE network when the visible optical network is in an unavailable state;
the resource allocation unit allocates frequency resources of the visible optical network to the user by an extreme method, allocates power resources of the visible optical network to the user according to the attribute information of the visible optical network channel, and/or allocates frequency resources of the LTE network to the user according to the bandwidth requirement of the user, and allocates the power resources of the LTE network to the user by an improved water injection method;
an adjusting unit for adjusting the access network of the user by an exhaustive search method,
the resource allocation unit is further configured to reallocate frequency resources and power resources to the user in the process of adjusting the access network of the user by the adjustment unit until the throughput of the target environment is no longer improved; the improved water injection method comprises the following steps: calculating a power resource average value according to the number of users accessing the LTE network and the sum of the power resources of the LTE network, distributing the power resources of the LTE network for the users by a water injection method, distributing the resource power average value for the users with zero distributed power resources, and iterating until the power resources of no user are zero.
5. The system according to claim 4, wherein the resource allocation unit is configured to calculate a mean value of power resources according to the number of users accessing the LTE network and a sum of power resources of the LTE network, allocate power resources of the LTE network to users by a water injection method, allocate the mean value of power resources to users whose allocated power resources are zero, and iterate until power resources of no user are zero.
6. The heterogeneous converged network resource allocation system according to any one of claims 4 to 5, further comprising:
and the sequencing unit is used for sequencing the users in a descending order according to the bandwidth requirements of the users.
7. The system according to any one of claims 4 to 5, wherein the access unit is further configured to access, when the visible light network is available, the user whose bandwidth requirement in the target environment is greater than a preset value to the visible light network, and access other users to the LTE network.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410728976.0A CN104540139B (en) | 2014-12-04 | 2014-12-04 | Isomery UNE resource allocation methods and system |
| PCT/CN2015/096356 WO2016086889A1 (en) | 2014-12-04 | 2015-12-03 | Method and system for allocating heterogeneous convergence network resources |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410728976.0A CN104540139B (en) | 2014-12-04 | 2014-12-04 | Isomery UNE resource allocation methods and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104540139A CN104540139A (en) | 2015-04-22 |
| CN104540139B true CN104540139B (en) | 2018-03-06 |
Family
ID=52855574
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410728976.0A Active CN104540139B (en) | 2014-12-04 | 2014-12-04 | Isomery UNE resource allocation methods and system |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN104540139B (en) |
| WO (1) | WO2016086889A1 (en) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104540139B (en) * | 2014-12-04 | 2018-03-06 | 北京邮电大学 | Isomery UNE resource allocation methods and system |
| CN105357764B (en) * | 2015-12-18 | 2019-01-25 | 北京邮电大学 | Resource allocation methods and device in indoor visible light-Home eNodeB heterogeneous network |
| CN105578582B (en) * | 2016-01-19 | 2018-12-28 | 重庆邮电大学 | A kind of honeycomb heterogeneous network user-association and resource allocation methods and device |
| CN107948985B (en) * | 2017-11-30 | 2019-12-03 | 北京邮电大学 | Light-carried wireless accesses the Beam resources distribution method in network |
| CN108271241B (en) * | 2017-12-12 | 2019-10-22 | 广东电网有限责任公司电力调度控制中心 | A kind of information rate access control optimization method and system based on resource allocation |
| CN108900248B (en) * | 2018-06-27 | 2019-10-11 | 中国联合网络通信集团有限公司 | The distribution method and device of access point in a kind of visible light wireless communication system |
| CN111148203B (en) * | 2019-12-20 | 2023-02-14 | 中国人民解放军战略支援部队信息工程大学 | Artificial noise assisted active eavesdropper resistant robust secure transmission method in heterogeneous network |
| CN113242183A (en) * | 2021-05-20 | 2021-08-10 | 惠州Tcl移动通信有限公司 | Data stream sending control method and device, intelligent terminal and storage medium |
| CN115604357A (en) * | 2022-08-31 | 2023-01-13 | 云南电网有限责任公司（Cn） | Heterogeneous integration networking communication management and control system for power transmission line |
| CN116054960B (en) * | 2023-04-03 | 2023-06-30 | 南昌大学 | PoE power supply-based visible light communication system power control method and system |
| CN116506047B (en) * | 2023-06-26 | 2023-09-15 | 中国电信股份有限公司 | Network resource allocation method, device and non-volatile computer readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102196579A (en) * | 2011-06-21 | 2011-09-21 | 西安电子科技大学 | Quick algorithm for joint resource allocation in heterogeneous wireless network parallel multi-access system |
| CN103259592A (en) * | 2013-05-24 | 2013-08-21 | 江苏大学 | Fusion method for visible light communication network and WLAN |
| CN103329613A (en) * | 2011-04-26 | 2013-09-25 | 华为技术有限公司 | Method, base station and system for wireless communication |
| CN103634920A (en) * | 2013-12-13 | 2014-03-12 | 东南大学 | Multi-user power distribution method under wireless optical CDMA system power respective constraint |
| CN103944796A (en) * | 2013-11-08 | 2014-07-23 | 北京邮电大学 | Interconnection system and switching method for long term evolution (LTE) and visible light communication (VLC) |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104540139B (en) * | 2014-12-04 | 2018-03-06 | 北京邮电大学 | Isomery UNE resource allocation methods and system |
-
2014
- 2014-12-04 CN CN201410728976.0A patent/CN104540139B/en active Active
-
2015
- 2015-12-03 WO PCT/CN2015/096356 patent/WO2016086889A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103329613A (en) * | 2011-04-26 | 2013-09-25 | 华为技术有限公司 | Method, base station and system for wireless communication |
| CN102196579A (en) * | 2011-06-21 | 2011-09-21 | 西安电子科技大学 | Quick algorithm for joint resource allocation in heterogeneous wireless network parallel multi-access system |
| CN103259592A (en) * | 2013-05-24 | 2013-08-21 | 江苏大学 | Fusion method for visible light communication network and WLAN |
| CN103944796A (en) * | 2013-11-08 | 2014-07-23 | 北京邮电大学 | Interconnection system and switching method for long term evolution (LTE) and visible light communication (VLC) |
| CN103634920A (en) * | 2013-12-13 | 2014-03-12 | 东南大学 | Multi-user power distribution method under wireless optical CDMA system power respective constraint |
Non-Patent Citations (3)
| Title |
|---|
| Dynamic load balancing with handover in hybrid Li-Fi and Wi-Fi networks;Yunlu Wang等;《Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014 IEEE 25th Annual International Symposium on》;20140905;全文 * |
| Hybrid Visible Light and Radio Frequency Communication Systems;Irina Stefan;《Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th》;20140917;全文 * |
| 短距离可见光通信技术进展与IEEE802.15.7;洪文昕等;《光传输》;20130731;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104540139A (en) | 2015-04-22 |
| WO2016086889A1 (en) | 2016-06-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104540139B (en) | Isomery UNE resource allocation methods and system | |
| Lin et al. | QoE-driven spectrum assignment for 5G wireless networks using SDR | |
| CN105636057B (en) | A kind of resource allocation methods based on Noncooperative game in super-intensive network | |
| JP5697622B2 (en) | Mobile communication system and remote radio unit clustering method thereof | |
| Ghimire et al. | Self-organising interference coordination in optical wireless networks | |
| CN107172682B (en) | Ultra-dense network wireless resource allocation method based on dynamic clustering | |
| Wen et al. | Energy efficient power allocation schemes for device-to-device (D2D) communication | |
| Delgado et al. | Scheduling and resource allocation for multiclass services in LTE uplink systems | |
| US20080076440A1 (en) | Method and apparatus for bandwidth resource allocation in mobile communication system | |
| CN106231610B (en) | Based on the resource allocation methods of sub-clustering in Femtocell double-layer network | |
| CN107197423B (en) | Capacity-oriented D2D multicast resource allocation method | |
| CN107659915B (en) | Internet-of-vehicles human-vehicle resource allocation method based on geographic region information | |
| Liu et al. | Device-to-device communication for mobile multimedia in emerging 5G networks | |
| CN107708157A (en) | Intensive small cell network resource allocation methods based on efficiency | |
| CN103079278A (en) | Method for allocating downlink resources of OFDMA (Orthogonal Frequency Division Multiple Access)-WLAN (Wireless Local Area Network) system based on user satisfaction degrees | |
| CN108449149B (en) | Energy acquisition small base station resource allocation method based on matching game | |
| CN107454601B (en) | Wireless virtual mapping method considering inter-cell interference under ultra-dense environment | |
| Li et al. | LTE network planning based on game theory | |
| CN106162654A (en) | A kind of electric power LTE network frequency distribution based on business isolation and disturbance coordination method | |
| CN108599913B (en) | Coexistence method of LTE-U and WiFi in multi-operator scene | |
| GB2497989A (en) | Radio Resource Management for a Distributed Antenna Communication System | |
| CN104618934B (en) | A kind of global optimization relay node selecting method based on throughput prediction | |
| CN107517464B (en) | Interference management and resource allocation method in heterogeneous network | |
| CN110139281A (en) | A method of the full duplex D2D sub-clustering resource allocation based on K-means | |
| CN109743736A (en) | A kind of super-intensive network user access of customer-centric and resource allocation methods |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |