CN107318118B - Wireless heterogeneous network load balancing method based on feedback calculation - Google Patents

Wireless heterogeneous network load balancing method based on feedback calculation Download PDF

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CN107318118B
CN107318118B CN201710501251.1A CN201710501251A CN107318118B CN 107318118 B CN107318118 B CN 107318118B CN 201710501251 A CN201710501251 A CN 201710501251A CN 107318118 B CN107318118 B CN 107318118B
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calculating
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CN107318118A (en
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程良伦
李思思
董晓庆
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Guangdong University of Technology
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    • 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

Abstract

The invention discloses a wireless heterogeneous network load balancing method based on feedback calculation, which comprises the following steps: calculating effective values of the candidate networks according to the user preference indexes, the application requirement indexes and the terminal requirement indexes; calculating a feedback factor; calculating an evaluation value of the candidate network by using the feedback factor and the effective value of the candidate network; and selecting a target network from the candidate networks by using the evaluation value, and selecting to switch the current network or keep the current network according to the result of the target network. The method realizes the improvement of the load balancing effect.

Description

Wireless heterogeneous network load balancing method based on feedback calculation
Technical Field
The invention relates to the technical field of network load, in particular to a wireless heterogeneous network load balancing method based on feedback calculation.
Background
At present, with the increasing demand of people, a single network service cannot meet the demand of users, and in order to meet the demand of providing satisfactory service for users anytime and anywhere, a concept of wireless heterogeneous network convergence is further provided, that is, wireless access networks of different technologies cooperate with each other to serve the users. At present, multiple heterogeneous network convergence still has multi-party technical problems, and one of the multi-party technical problems is the load balancing problem of the wireless heterogeneous network.
In a heterogeneous network scenario, since there is heterogeneity between networks, a scheme for implementing a single network load balancing through resource transfer is not applicable to the heterogeneous network. Chai et al propose to implement load balancing by vertical switching, and to implement load balancing of the entire network by adjusting the number of users served by each network (r. Chai, h. zhang, x. dong, q. chen, t. svensson, Optimal joint based load balancing for social networks Wireless networks, Wireless network.20 (6) (2014)1557 — 1571.).
In order to realize load balancing of heterogeneous networks, some studies are carried out by scholars and partial results are obtained, but the existing research results still have the following two problems: (1) the load balance of the wireless network is realized purely according to the recent load condition of the base station, and the effect is poor; (2) user preference cannot be comprehensively considered in the process of realizing network load balancing, and the effect is poor.
Disclosure of Invention
The invention aims to provide a wireless heterogeneous network load balancing method based on feedback calculation so as to improve the load balancing effect.
In order to solve the above technical problem, the present invention provides a method for load balancing of a wireless heterogeneous network based on feedback calculation, which includes:
calculating effective values of the candidate networks according to the user preference indexes, the application requirement indexes and the terminal requirement indexes;
calculating a feedback factor;
calculating an evaluation value of the candidate network by using the feedback factor and the effective value of the candidate network;
and selecting a target network from the candidate networks by using the evaluation value, and selecting to switch the current network or keep the current network according to the result of the target network.
Preferably, before calculating the effective value of the candidate network according to the user preference index, the application requirement index and the terminal requirement index, the method further includes:
and evaluating whether the current network needs load balancing, and if so, triggering a load balancing algorithm.
Preferably, the user preference index includes security and price of the network, the application requirement index includes data rate, packet delay variation and bit error rate, and the terminal requirement index includes power consumption of the radio access technology.
Preferably, the TOPSIS method is used to calculate the effective value of the candidate network.
Preferably, the calculating the feedback factor includes:
calculating the probability of establishing connection between a base station and a user;
calculating the load capacity of the base station;
the load capacity of the maximum load network is weakened.
Preferably, the selecting a target network from the candidate networks by using the evaluation value includes:
and selecting the candidate network with the largest evaluation value as the target network from all the candidate networks.
Preferably, the selecting to switch the current network or keep the current network according to the result of the target network includes:
and judging whether the target network is the current network, if so, keeping the current network, and if not, switching the current network to the target network.
The invention provides a wireless heterogeneous network load balancing method based on feedback calculation, which calculates the effective value of a candidate network according to a user preference index, an application requirement index and a terminal requirement index; calculating a feedback factor; calculating an evaluation value of the candidate network by using the feedback factor and the effective value of the candidate network; and selecting a target network from the candidate networks by using the evaluation value, and selecting to switch the current network or keep the current network according to the result of the target network. Therefore, the method can meet the user preference, effectively solve the problem of load balancing of the heterogeneous network, solve the problem of uneven network load under the background of the heterogeneous network and improve the load balancing effect.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for load balancing of a wireless heterogeneous network based on feedback calculation according to the present invention.
Detailed Description
The core of the invention is to provide a wireless heterogeneous network load balancing method based on feedback calculation so as to improve the load balancing effect.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a method for load balancing of a wireless heterogeneous network based on feedback calculation according to the present invention, where the method includes:
s11: calculating effective values of the candidate networks according to the user preference indexes, the application requirement indexes and the terminal requirement indexes;
s12: calculating a feedback factor;
s13: calculating an evaluation value of the candidate network by using the feedback factor and the effective value of the candidate network;
s14: and selecting a target network from the candidate networks by using the evaluation value, and selecting to switch the current network or keep the current network according to the result of the target network.
Therefore, the method can meet the user preference, effectively solve the problem of load balancing of the heterogeneous network, solve the problem of uneven network load under the background of the heterogeneous network and improve the load balancing effect.
Based on the above method, specifically, before step S11, the method further includes: and evaluating whether the current network needs load balancing, and if so, triggering a load balancing algorithm. The triggered load balancing algorithm is the subsequent steps S11 to S14. Step S11 is performed upon determining that load balancing is required for the current network.
The user preference index comprises the safety and price of the network, the application requirement index comprises the data rate, the packet delay variation and the bit error rate, and the terminal requirement index comprises the power consumption of the wireless access technology.
Further, in step S11, the effective value of the candidate network is calculated by using the TOPSIS method.
Further, the process of step S12 specifically includes: calculating the probability of establishing connection between a base station and a user; calculating the load capacity of the base station; the load capacity of the maximum load network is weakened.
In step S14, the process of selecting the target network from the candidate networks by using the evaluation value specifically includes: and selecting the candidate network with the largest evaluation value as the target network from all the candidate networks.
In step S14, the process of selecting to switch the current network or keep the current network according to the result of the target network specifically includes: and judging whether the target network is the current network, if so, keeping the current network, and if not, switching the current network to the target network.
Therefore, the method judges whether the network load balancing algorithm is triggered currently; calculating effective values of the candidate networks according to user preferences, application requirements and terminal related requirements; calculating feedback factors of each network; and integrating the feedback factor and the effective value of the candidate network, calculating the evaluation value of the candidate network to determine the target network, and selecting to switch or reserve the current network connection according to the result of the target network. The method can satisfy the user preference and simultaneously more effectively solve the load balance of the heterogeneous network.
Based on the method, more specifically, the method comprises the following specific implementation steps:
step S1: judging whether a network load balancing algorithm is triggered currently;
firstly, calculating the load degree L of the network i accessed by the current useri(Li∈[0，1]) The calculation formula is as follows:
Figure GDA0002247979680000041
wherein Capacity isiRepresenting the maximum capacity of the i-network capable load, OccupyiRepresenting the current actual load of the i network.
Then judging the load L of the network i accessed by the current useriWhether the following algorithm triggering conditions are met:
Li-minLoad≥th；
where minLoad represents a value at which the network load degree in the candidate network is minimum, and th represents a threshold value of the load difference.
The algorithm triggering condition is to evaluate whether the current network needs to realize load balancing, if so, the step S2 is carried out, otherwise, the current status is maintained. The algorithm triggering conditions are specifically as follows: network load L of user current access network ii(Li∈[0，1]) And if the difference value of the minimum network load degree in the network group which can be accessed by the current user is greater than the threshold value th, triggering a load balancing algorithm.
Step S2: calculating effective values of the candidate networks according to user preferences, application requirements and terminal related requirements;
the method comprises the steps of selecting representative indexes according to user preference, application requirements and terminal related requirements, selecting network security and price as user preference indexes, selecting data rate, packet delay variation and bit error rate as application requirement indexes, and selecting power consumption of a wireless access technology as terminal related requirement indexes;
the user preference comprises the security and price of the network, the application requirements comprise data rate, packet delay variation and bit error rate, the terminal-related requirements are the power consumption of the wireless access technology, and the candidate network refers to a network which can provide service at the position of the current user;
calculating the validity of each candidate network in step S2The relative closeness degree C of each candidate network and the ideal scheme is obtained by adopting a TOPSIS method, constructing a decision matrix, standardizing the decision matrix and the likei，CiA larger value indicates that the i-network solution is closer to the ideal solution.
Based on the TOPSIS method, the steps of calculating the effective value of each candidate network are as follows:
(1) a decision matrix X is constructed as follows:
Figure GDA0002247979680000051
wherein m is the number of candidate networks, S is the security of the network, P is the price of the network, D is the data rate, V is the packet delay variation, E is the bit error rate, and C is the power consumption of the radio access technology.
(2) Standardizing a decision matrix;
converting the matrix X into a dimensionless standardized matrix R, wherein the elements R in the RijCan be expressed as:
Figure GDA0002247979680000052
(3) calculating the weight of the index;
and calculating objective weight by using a standard deviation method, wherein the weight formula of the jth index is as follows:
Figure GDA0002247979680000053
wherein s isjIs the standard deviation of the jth index in different evaluation objects.
(4) Generating a weighted normalized decision matrix;
the weighted normalized decision matrix V is obtained by multiplying each column of the matrix R by its corresponding weight, so that the value in the weighted normalized matrix V is:
vij＝wjrij。
(5) determining an ideal solution and a negative ideal solution;
when the index is a benefit type, the ideal scheme is a max value in each column, and the negative ideal scheme is a min value in each column; when the index is cost type, the ideal scenario is min value in each column, minus the ideal scenario is max value in each column.
Figure GDA0002247979680000061
Figure GDA0002247979680000062
(6) Calculating the distance;
the distance of each candidate is measured by an n-dimensional euclidean distance,
Figure GDA0002247979680000063
represents the distance to the ideal solution and,
Figure GDA0002247979680000064
representing the distance to the negative ideal solution, is calculated as follows:
Figure GDA0002247979680000065
Figure GDA0002247979680000066
(6) the relative proximity to the ideal is calculated.
Wherein, CiTo a relative degree of closeness, CiA larger value of (a) indicates that the i-network solution is closer to the ideal solution.
Step S3: calculating a feedback factor;
the feedback factor is a correction value sent to the user end by the network end for adjusting the network effective value. The feedback factor calculation process for adjusting the network effective value has the following steps:
(1) calculating the probability of establishing connection between the base station and the user, wherein the calculation formula is as follows:
Figure GDA0002247979680000071
wherein f isiRepresenting the feedback factor, alpha, of the i-networkjIndicates the recognition of the feedback factor by user j, CijIndicating the respective valid values of i networks calculated by user j according to step S2, and n indicating the number of candidate networks to which user j can connect. If the current stage is the initial stage, using the initialized value of f, f is the initial stagei initial＝1-Li。
(2) And (3) calculating the load capacity of the base station, wherein the calculation formula is as follows:
Figure GDA0002247979680000072
where F is an array of feedback factors F, LiRepresenting the maximum load capacity of the i base station, m representing the number of users served by the i base station, lijIndicates the allocated bandwidth of j users that have access to the i network, rjIndicating the bandwidth newly requested by j users.
(3) The load capacity of the maximum load network is weakened.
The process of weakening the load capacity of the maximum load network specifically comprises the following steps: and assigning the feedback factor of the maximum load network as the feedback factor of the minimum load network, and keeping the load factors of other candidate networks unchanged.
Step S4: and calculating the evaluation value of the candidate network by integrating the feedback factor and the effective value of the candidate network, wherein the formula for calculating the evaluation value of the candidate network is as follows:
Figure GDA0002247979680000073
step S5: and determining a target network, and selecting to switch or reserve the current network connection according to the result of the target network.
The network with the largest evaluation value is the target network, namely the target network is as follows:
Figure GDA0002247979680000074
and judging the relationship between the target network and the current network, if the network with the maximum evaluation value is the current network, keeping the current network connection, otherwise, switching to the target network, and adjusting the load condition of the network.
The invention can satisfy the user preference and solve the problem of load balancing of the heterogeneous network. In addition, compared with the method for realizing the load balance of the wireless network according to the recent load condition of the base station, the method for realizing the load balance of the wireless network more effectively realizes the load balance of the wireless network by analyzing the future load condition of the base station.
The method for balancing the load of the wireless heterogeneous network based on the feedback calculation provided by the invention is described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.

Claims (6)

1. A wireless heterogeneous network load balancing method based on feedback calculation is characterized by comprising the following steps:
calculating effective values of the candidate networks according to the user preference indexes, the application requirement indexes and the terminal requirement indexes;
calculating a feedback factor; wherein the calculating the feedback factor comprises:
calculating the probability of establishing connection between the base station and the user, wherein the calculation formula is as follows:
Figure FDA0002247979670000011
wherein f isiRepresenting the feedback factor, alpha, of the i-networkjIndicates the recognition of the feedback factor by user j, CijRepresenting the corresponding effective value of the user j to the i network, and n representing the number of candidate networks which can be connected by the user j;
and (3) calculating the load capacity of the base station, wherein the calculation formula is as follows:
Figure FDA0002247979670000012
where F is an array of feedback factors F, LiRepresenting the maximum load capacity of the base station i, m representing the number of users served by the base station i,
Figure DEST_PATH_IMAGE002
indicates the allocated bandwidth of j users that have access to the i network, rjIndicates the bandwidth newly requested by j users;
weakening the load capacity of the maximum load network, assigning the feedback factor of the maximum load network as the feedback factor of the minimum load network, and keeping the load factors of other candidate networks unchanged;
calculating an evaluation value of the candidate network by using the feedback factor and the effective value of the candidate network, wherein a formula for calculating the evaluation value of the candidate network is as follows:
Figure FDA0002247979670000013
and selecting a target network from the candidate networks by using the evaluation value, and selecting to switch the current network or keep the current network according to the result of the target network.
2. The method of claim 1, wherein prior to calculating the valid value for the candidate network based on the user preference metric, the application requirement metric, and the terminal requirement metric, further comprising:
and evaluating whether the current network needs load balancing, and if so, triggering a load balancing algorithm.
3. The method of claim 1, wherein the user preference metrics include security and price of the network, the application requirement metrics include data rate, packet delay variation, and bit error rate, and the terminal requirement metrics include power consumption of the radio access technology.
4. The method of claim 3, wherein the effective value of the candidate network is calculated using a TOPSIS method.
5. The method of claim 1, wherein selecting the target network from the candidate networks using the evaluation value comprises:
and selecting the candidate network with the largest evaluation value as the target network from all the candidate networks.
6. The method according to any one of claims 1 to 5, wherein the selecting to switch to the current network or to keep the current network depending on the result of the target network comprises:
and judging whether the target network is the current network, if so, keeping the current network, and if not, switching the current network to the target network.
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