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Load balancing method for heterogeneous wireless network

A heterogeneous wireless network and load balancing technology, applied in wireless communication, network traffic/resource management, electrical components, etc., can solve problems such as limited capacity, reduce complexity, meet user business service quality requirements, and reduce system overhead Effect

Active Publication Date: 2016-10-26
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many non-ideal link deployment situations in the actual low-power cell deployment. For example, areas that cannot be reached by optical fibers can only be connected by wireless links such as microwaves, and the capacity is limited.

Method used

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  • Load balancing method for heterogeneous wireless network
  • Load balancing method for heterogeneous wireless network
  • Load balancing method for heterogeneous wireless network

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Experimental program
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Embodiment

[0125] In the genetic simulated annealing algorithm of the present invention, a step for load balancing is added, an initial solution needs to be generated, and an updated solution is selected according to the user serving cell.

[0126] refer to figure 1 , according to an embodiment of the present invention, the method for solving heterogeneous wireless network load balancing based on the improved hybrid genetic simulated annealing algorithm includes:

[0127] S1: Initialization. The initial value of the evolution times counter m is 0, the initialization temperature t, and the temperature decay factor is Generate V solution vectors to construct the initial population S 0 (m)={X 1 ,...,X v ,...,X V} (that is, the initial solution), X v ={x 1 , x 2 ,...x k ,...,x K},x k ∈{1,…,S}, where x k Indicates the indication of the serving cell selected by user k, that is, x k Indicates the access serving cell selected by user k in the heterogeneous network area, expressed b...

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Abstract

The invention provides a load balancing method for a heterogeneous wireless network, which comprises the steps of: 1, generating a population, wherein the population comprises a plurality of individuals, and each individual is used for indicating each user in a wireless network range whether to access a cell; and 2, executing a genetic algorithm on the population so as to generate a population which meets the population fitness requirement. The method further comprises the steps of: executing an annealing algorithm on the population so as to generate a population which meets the annealing fitness requirement. According to the method provided by the invention, by increasing a selection probability of poor-quality population individuals, a probability of selecting a locally optimal solution is reduced, and algorithm complexity is reduced to a certain degree.

Description

technical field [0001] The present invention relates to wireless communication, in particular to communication of heterogeneous wireless networks. Background technique [0002] With the full popularity of smart terminals and the rapid development of the mobile Internet, the proportion of data services in wireless communications is increasing. Faced with huge demand for data service traffic, mobile operators are worrying about the increased data traffic. Carriers analyze that offloading mobile data can greatly improve the utilization of wireless spectrum resources. The 3G / 4G standard protocol already supports low-power small base stations. Deploying low-power nodes as a supplement to macro base stations can double the available spectrum resources per unit area of ​​the area, thereby improving service throughput. The low-power small base station product form is relatively flexible, including home base station (Femtocell, 2x50mW), outdoor Picocell (2x1W, outdoor blind filling,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/08
CPCH04W28/08
Inventor 杜红艳周一青田霖石晶林
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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