CN107318118A - A kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback - Google Patents
A kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback Download PDFInfo
- Publication number
- CN107318118A CN107318118A CN201710501251.1A CN201710501251A CN107318118A CN 107318118 A CN107318118 A CN 107318118A CN 201710501251 A CN201710501251 A CN 201710501251A CN 107318118 A CN107318118 A CN 107318118A
- Authority
- CN
- China
- Prior art keywords
- network
- candidate
- load
- index
- objective
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/14—Reselecting a network or an air interface
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/16—Performing reselection for specific purposes
- H04W36/165—Performing reselection for specific purposes for reducing network power consumption
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/18—Selecting a network or a communication service
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback, this method includes:According to user preference index, application requirement index and demanding terminal index, the virtual value of candidate network is calculated;Calculate feedback factor;Using feedback factor and the virtual value of candidate network, the assessed value of candidate network is calculated;Objective network is selected from candidate network using assessed value, result selection switching current network or reservation current network according to objective network.This method, which is realized, improves load balancing effect.
Description
Technical field
It is more particularly to a kind of to be born based on the Wireless Heterogeneous Networks that feedback is calculated the present invention relates to network load technical field
Carry equalization methods.
Background technology
At present, growing with the demand of people, single network service is it is impossible to meet the demand of user
The gratifying service that can provide the user whenever and wherever possible is met, and then proposes that Wireless Heterogeneous Networks merge this concept,
That is different qualities, the wireless access network of different technologies is user service jointly by cooperating.Current a variety of heterogeneous networks melt
Conjunction still suffers from multi-party technical barrier, and one of them is exactly Wireless Heterogeneous Networks problem of load balancing.
Under heterogeneous network scene, list is realized due to there is isomerism between network and network, therefore by resource transfers
The scheme of one Network Load Balance is for heterogeneous network and does not apply to.Chai et al. proposes to realize using Vertical Handover
Load balancing, realized by adjusting number of users that each network serviced whole network load balancing (R.Chai,
H.Zhang,X.Dong,Q.Chen,T.Svensson,Optimal joint utility based load balancing
algorithm for heterogeneous wireless networks,Wireless Netw.20(6)(2014)1557–
1571.)。
To realize heterogeneous network load balancing, scholars have carried out some researchs, and achieve part achievement, but existing grind
Study carefully achievement and still have following two problems:(1) the simple nearest loading condition in foundation base station realizes the load of wireless network
Equilibrium, effect is poor;(2) fail to consider user preference comprehensively in Network Load Balance is realized, effect is poor.
The content of the invention
It is an object of the invention to provide a kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback, carried with realizing
High capacity portfolio effect.
In order to solve the above technical problems, the present invention provides a kind of Wireless Heterogeneous Networks load balancing side calculated based on feedback
Method, this method includes:
According to user preference index, application requirement index and demanding terminal index, the virtual value of candidate network is calculated;
Calculate feedback factor;
Using feedback factor and the virtual value of candidate network, the assessed value of candidate network is calculated;
Objective network is selected from candidate network using assessed value, the current net of result selection switching according to objective network
Network retains current network.
It is preferred that, it is described according to user preference index, application requirement index and demanding terminal index, calculate candidate network
Virtual value before, in addition to:
Assess whether current network needs to carry out load balancing, if so, triggering load-balancing algorithm.
It is preferred that, user preference index includes the security and price of network, and application requirement index includes data rate, divided
Group delay variation and the bit error rate, demanding terminal index include the power consumption of wireless access technology.
It is preferred that, the virtual value of candidate network is calculated using TOPSIS methods.
It is preferred that, the calculating feedback factor, including:
The probability of connection is set up between calculation base station and user;
Calculation base station load capacity;
Weaken the load capacity of maximum load network.
It is preferred that, the utilization assessed value selects objective network from candidate network, including:
In all candidate networks, the maximum candidate network of assessed value is selected as objective network.
It is preferred that, the result selection switching current network or reservation current network according to objective network, including:
Whether be current network, if so, current network is then kept, if it is not, current network is switched to if judging objective network
Objective network.
A kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback provided by the present invention, according to user preference
Index, application requirement index and demanding terminal index, calculate the virtual value of candidate network;Calculate feedback factor;Utilize feedback
The virtual value of the factor and candidate network, calculates the assessed value of candidate network;Target is selected from candidate network using assessed value
Network, result selection switching current network or reservation current network according to objective network.It can be seen that, this method can be used meeting
While the preference of family, the problem of more effectively solving heterogeneous network load balancing is born to solve heterogeneous network background lower network
The problem of carrying uneven, realizes and improves load balancing effect.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow of the Wireless Heterogeneous Networks load-balancing method calculated based on feedback provided by the present invention
Figure.
Embodiment
The core of the present invention is to provide a kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback, is carried with realizing
High capacity portfolio effect.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is refer to, Fig. 1 is a kind of Wireless Heterogeneous Networks load balancing side calculated based on feedback provided by the present invention
The flow chart of method, this method includes:
S11:According to user preference index, application requirement index and demanding terminal index, the effective of candidate network is calculated
Value;
S12:Calculate feedback factor;
S13:Using feedback factor and the virtual value of candidate network, the assessed value of candidate network is calculated;
S14:Objective network is selected from candidate network using assessed value, the result selection switching according to objective network is worked as
Preceding network retains current network.
It can be seen that, this method can be while user preference be met, the problem of more effectively solving heterogeneous network load balancing,
To solve the problem of load of heterogeneous network background lower network is uneven, realize and improve load balancing effect.
Based on the above method, specifically, before step S11, in addition to:Assess whether current network needs progress to load
Weighing apparatus, if so, triggering load-balancing algorithm.Wherein, the load-balancing algorithm of triggering is exactly follow-up S11 to S14 steps.Step
S11 is carried out in the case of it is determined that current network needs to carry out load balancing.
Wherein, user preference index includes the security and price of network, and application requirement index includes data rate, packet
Delay variation and the bit error rate, demanding terminal index include the power consumption of wireless access technology.
Further, in step S11, the virtual value of candidate network is calculated using TOPSIS methods.
Further, step S12 process is specifically included:The probability of connection is set up between calculation base station and user;Calculate
Load of base station amount;Weaken the load capacity of maximum load network.
Wherein, in step S 14, the process for selecting objective network from candidate network using assessed value is specially:Institute
Have in candidate network, select the maximum candidate network of assessed value as objective network.
In step S14, result selection switching current network or the process tool of reservation current network according to objective network
Body is:Whether be current network, if so, current network is then kept, if it is not, current network is switched into target if judging objective network
Network.
It can be seen that, this method judges currently whether trigger Network Load Balance algorithm;According to user preference, application requirement and
Terminal related request, calculates the value of utility of each candidate network;Calculate the feedback factor of each network;The integrative feedback factor and candidate's net
The value of utility of network, calculate candidate network assessed value determine objective network, according to the result of objective network selection switch over or
Retain current network connection.This method can more effectively solve heterogeneous network load balancing while user preference is met.
Based on this method, in more detail, specific implementation step is as follows:
Step S1:Whether judgement currently triggers Network Load Balance algorithm;
The network i of active user's access degree of load L is calculated firsti(Li∈ [0,1]), calculation formula is as follows:
Wherein, CapacityiRepresent i networks institute portative maximum capacity, OccupyiRepresent that i networks sentence reality before then
Border is disconnected negative when front bearing consumption.The network i of family access degree of load LiWhether following algorithm triggers condition is met:
Li-minLoad≥th;
Wherein, minLoad represents the minimum value of network load degree in candidate network, and th represents the threshold value of load difference.
Algorithm triggers condition is to assess whether current network needs to realize load balancing, is if desired then transferred to step S2, no
Then maintain the statusquo.Algorithm triggers condition is specially:User's present access network i network load degree Li(Li∈ [0,1]) and it is current
The difference of minimal network degree of load is more than threshold value th in the group of networks that user can access, then triggers load-balancing algorithm.
Step S2:According to user preference, application requirement and terminal related request, the value of utility of each candidate network is calculated;
Wherein, chosen respectively according to user preference, application requirement and terminal related request and represent index, choose the peace of network
Full property and price choose data rate as user preference index, change in packet delay variance and the bit error rate as application requirement index,
The power consumption for choosing wireless access technology is used as terminal related request index;
User preference includes the security and price of network, and application requirement includes data rate, change in packet delay variance and mistake
Code check, terminal related request is specifically the power consumption of wireless access technology, and candidate network refers to carry in active user present position
For the network of service;
The value of utility of each candidate network is calculated in step S2, here using TOPSIS methods, by building judgement matrix, standard
Change judgement matrix, etc. step, obtain the relative proximity C of each candidate network and ideal schemei, CiThe bigger expression i network sides of value
Case is closer to ideal solution.
Based on TOPSIS methods, the step of calculating the value of utility of each candidate network is as follows:
(1) judgement matrix X, X are built as follows:
Wherein, m is candidate network number, and S is the security of network, and P is the price of network, and D is data rate, and V is to divide
Group delay variation, E is the bit error rate, and C is the power consumption of wireless access technology.
(2) standardization judgement matrix;
Matrix X is converted into element r in nondimensional normalized matrix R, RijIt is represented by:
(3) weight calculation of index;
Objective weight is calculated using standard deviation method, the weight equation of j-th of index is:
Wherein, sjFor standard deviation of j-th of index in different assessment objects.
(4) generation weighting standardization judgement matrix;
The judgement matrix V of weighting standard is obtained by the matrix R its corresponding multiplied by weight of each row, therefore weighting
Value in normalized matrix V is:
vij=wjrij。
(5) ideal solution and minus ideal result are determined;
When index is profit evaluation model, ideal scheme is the max values in each column, and ill ideal solution is the min values in each column;When
When index is cost type, preferable bill is the max values in the min values in each column, ill ideal solution Ei each columns.
(6) distance is calculated;
Tie up Euclidean distance to measure the distance of each candidate scheme by n,The distance of ideal solution is represented,
The distance of minus ideal result is represented, computational methods are as follows:
(6) relative proximity with ideal scheme is calculated.
Wherein, CiFor relative proximity, CiThe bigger expression i network plans of value closer to ideal solution.
Step S3:Calculate feedback factor;
Wherein, feedback factor is the correction value for adjusting network utility value that user terminal is sent to by network-side.
Feedback factor calculating process for adjusting network utility value has the following steps rapid:
(1) probability of connection is set up between calculation base station and user, calculation formula is as follows:
Wherein, fiRepresent the feedback factor of i networks, αjRepresent user j to the degree of recognition of feedback factor, CijRepresent user j
According to the corresponding value of utility of the step S2 i networks calculated, n represents the candidate network quantity that user j can be connected.If the current generation
F initialization values are then used for the starting stage, when initial
(2) calculation base station load capacity, calculation formula is as follows:
Wherein, F is feedback factor f array, LiThe maximum load capability of i base stations is represented, m represents the use of i base stations service
Amount amount, lijExpression has accessed the bandwidth that the j user of i networks is allocated, rjRepresent the bandwidth that j user newly asks.
(3) load capacity of maximum load network is weakened.
Wherein, the process of the load capacity of reduction maximum load network is specifically:The feedback factor of maximum load network is assigned
It is worth for the feedback factor of minimum load network, the load factor of other candidate networks keeps not changing.
Step S4:The value of utility of the integrative feedback factor and candidate network, calculates the assessed value of candidate network, calculates candidate's net
The formula of the assessed value of network is as follows:
Step S5:Objective network is determined, current network connection is switched over or retain according to the selection of the result of objective network.
Wherein, the maximum network of assessed value is objective network, i.e. objective network is as follows:
Judge the relation of objective network and current network, current net is kept if being current network if the maximum network of assessed value
Network is connected, and is otherwise switched to objective network, adjusts the loading condition of network.
The present invention can be while user preference be met, the problem of solving heterogeneous network load balancing.In addition, compared to according to
Realize the load-balancing method of wireless network according to the nearest loading condition in base station, it is of the invention then by analyzing base station future load feelings
Condition, more effectively realizes the load balancing of wireless network.
A kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback provided by the present invention is carried out above
It is discussed in detail.Specific case used herein is set forth to the principle and embodiment of the present invention, above example
Illustrate the method and its core concept for being only intended to help to understand the present invention.It should be pointed out that for the common skill of the art
For art personnel, under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these change
Enter and modify to also fall into the protection domain of the claims in the present invention.
Claims (7)
1. a kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback, it is characterised in that including:
According to user preference index, application requirement index and demanding terminal index, the virtual value of candidate network is calculated;
Calculate feedback factor;
Using feedback factor and the virtual value of candidate network, the assessed value of candidate network is calculated;
Select objective network from candidate network using assessed value, according to objective network result selection switching current network or
Person retains current network.
2. the method as described in claim 1, it is characterised in that it is described according to user preference index, application requirement index and
Before demanding terminal index, the virtual value for calculating candidate network, in addition to:
Assess whether current network needs to carry out load balancing, if so, triggering load-balancing algorithm.
3. the method as described in claim 1, it is characterised in that user preference index includes the security and price of network, should
With requiring that index includes data rate, change in packet delay variance and the bit error rate, demanding terminal index includes the work(of wireless access technology
Consumption.
4. method as claimed in claim 3, it is characterised in that the virtual value of candidate network is calculated using TOPSIS methods.
5. method as claimed in claim 4, it is characterised in that the calculating feedback factor, including:
The probability of connection is set up between calculation base station and user;
Calculation base station load capacity;
Weaken the load capacity of maximum load network.
6. method as claimed in claim 5, it is characterised in that the utilization assessed value selects target network from candidate network
Network, including:
In all candidate networks, the maximum candidate network of assessed value is selected as objective network.
7. the method as described in any one in claim 1 to 6, it is characterised in that the result according to objective network is selected
Select switching current network or retain current network, including:
Whether be current network, if so, current network is then kept, if it is not, current network is switched into target if judging objective network
Network.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710501251.1A CN107318118B (en) | 2017-06-27 | 2017-06-27 | Wireless heterogeneous network load balancing method based on feedback calculation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710501251.1A CN107318118B (en) | 2017-06-27 | 2017-06-27 | Wireless heterogeneous network load balancing method based on feedback calculation |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107318118A true CN107318118A (en) | 2017-11-03 |
CN107318118B CN107318118B (en) | 2020-01-14 |
Family
ID=60179778
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710501251.1A Active CN107318118B (en) | 2017-06-27 | 2017-06-27 | Wireless heterogeneous network load balancing method based on feedback calculation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107318118B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108834079A (en) * | 2018-09-21 | 2018-11-16 | 北京邮电大学 | A kind of load balance optimization method based on mobility prediction in heterogeneous network |
WO2020073899A1 (en) * | 2018-10-09 | 2020-04-16 | 华为技术有限公司 | Data transmission method and apparatus |
CN111726833A (en) * | 2019-03-22 | 2020-09-29 | ***通信有限公司研究院 | Network load balancing method, device and storage medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101384084A (en) * | 2008-10-15 | 2009-03-11 | 北京邮电大学 | Network terminal selection method and device in heterogeneous network |
CN103781157A (en) * | 2014-01-14 | 2014-05-07 | 南京邮电大学 | Heterogeneous-network access decision method based on multi-network parallel transmission |
CN103957559A (en) * | 2014-03-21 | 2014-07-30 | 南京邮电大学 | Heterogeneous network access selection method based on user experience |
CN105188091A (en) * | 2015-09-17 | 2015-12-23 | 山东财经大学 | Load balancing method based on forced switching in heterogeneous wireless network system |
CN105704771A (en) * | 2016-03-24 | 2016-06-22 | 重庆邮电大学 | Modularization switching method base on load balancing and QoS in heterogeneous network |
CN105873127A (en) * | 2016-04-27 | 2016-08-17 | 东南大学 | Heuristic user connection load balancing method based on random decision |
CN105979553A (en) * | 2016-05-25 | 2016-09-28 | 重庆邮电大学 | ayered network handover decision-making method based on fuzzy logic and TOPSIS algorithms |
-
2017
- 2017-06-27 CN CN201710501251.1A patent/CN107318118B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101384084A (en) * | 2008-10-15 | 2009-03-11 | 北京邮电大学 | Network terminal selection method and device in heterogeneous network |
CN103781157A (en) * | 2014-01-14 | 2014-05-07 | 南京邮电大学 | Heterogeneous-network access decision method based on multi-network parallel transmission |
CN103957559A (en) * | 2014-03-21 | 2014-07-30 | 南京邮电大学 | Heterogeneous network access selection method based on user experience |
CN105188091A (en) * | 2015-09-17 | 2015-12-23 | 山东财经大学 | Load balancing method based on forced switching in heterogeneous wireless network system |
CN105704771A (en) * | 2016-03-24 | 2016-06-22 | 重庆邮电大学 | Modularization switching method base on load balancing and QoS in heterogeneous network |
CN105873127A (en) * | 2016-04-27 | 2016-08-17 | 东南大学 | Heuristic user connection load balancing method based on random decision |
CN105979553A (en) * | 2016-05-25 | 2016-09-28 | 重庆邮电大学 | ayered network handover decision-making method based on fuzzy logic and TOPSIS algorithms |
Non-Patent Citations (4)
Title |
---|
FAISAL KALEEM: "Dynamic Target Wireless Network Selection Technique Using Fuzzy Linguistic Variables", 《CHINA COMMUNICATIONS》 * |
IMED LASSOUED: "A Methodology for Evaluating Vertical Handoff Decision Mechanisms", 《A METHODOLOGY FOR EVALUATING VERTICAL HANDOFF DECISION MECHANISMS》 * |
KUALA LUMPUR: "Utility function-Based TOPSIS for Network Interface Selection in Heterogeneous Wireless Networks", 《2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS》 * |
MOHAMED LAHBY: "An Optimized Vertical Handover Approach Based on M-ANP and TOPSIS in Heterogeneous Wireless Networks", 《UNET 2016: ADVANCES IN UBIQUITOUS NETWORKING》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108834079A (en) * | 2018-09-21 | 2018-11-16 | 北京邮电大学 | A kind of load balance optimization method based on mobility prediction in heterogeneous network |
WO2020073899A1 (en) * | 2018-10-09 | 2020-04-16 | 华为技术有限公司 | Data transmission method and apparatus |
CN111726833A (en) * | 2019-03-22 | 2020-09-29 | ***通信有限公司研究院 | Network load balancing method, device and storage medium |
CN111726833B (en) * | 2019-03-22 | 2023-03-31 | ***通信有限公司研究院 | Network load balancing method, device and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN107318118B (en) | 2020-01-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105704771B (en) | Modularization switching method in heterogeneous network based on load balancing and QoS | |
CN107071841A (en) | The vertical handoff method optimized in heterogeneous network based on changeable weight | |
CN104158855B (en) | Information Mobile Service combination based on genetic algorithm calculates discharging method | |
CN105075184B (en) | For indicating load variations to the method and system of the influence of service disconnection on multilink | |
CN107484209B (en) | Network load balancing vertical switching method considering user QoS | |
CN107318118A (en) | A kind of Wireless Heterogeneous Networks load-balancing method calculated based on feedback | |
CN103298076A (en) | Method for selecting access network in heterogeneous network | |
Bakmaz et al. | Network selection algorithm for heterogeneous wireless environment | |
CN101516115A (en) | Method for carrying out adaptive optimization switching on group services based on demand prediction and priority | |
CN101772102A (en) | Selecting method for isomeric wireless network | |
CN106792779B (en) | It is a kind of permit and exempt from licensed band work cellular network connection control method | |
Skondras et al. | An analytic network process and trapezoidal interval‐valued fuzzy technique for order preference by similarity to ideal solution network access selection method | |
CN108055677A (en) | Load-balancing method based on software definition wireless network | |
CN105246124B (en) | A kind of heterogeneous wireless network Joint admission control method | |
Mansouri et al. | A use of fuzzy TOPSIS to improve the network selection in wireless multiaccess environments | |
CN109121164A (en) | A kind of load equalization method and device | |
CN107484208B (en) | Load balancing algorithm and system for heterogeneous network | |
Mansouri et al. | A comparison between fuzzy TOPSIS and fuzzy GRA for the vertical handover decision making | |
CN107889195A (en) | A kind of self study heterogeneous wireless network access selection method of differentiated service | |
Abid et al. | A utility-based handover decision scheme for heterogeneous wireless networks | |
Rahman et al. | Radio access network selection mechanism based on hierarchical modelling and game theory | |
CN102711178B (en) | Group association accepting control method based on user requirement and network load balancing | |
Niyato et al. | Competitive cell association and antenna allocation in 5G massive MIMO networks | |
Kim | Adaptive call admission control scheme for heterogeneous overlay networks | |
CN109673027A (en) | Focus mostly on unit CU fusion method, relevant device and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |