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协作通信网络中基于协作概率的负载均衡机制
引用本文:刘占军,彭霞,何俞瞡,陈前斌. 协作通信网络中基于协作概率的负载均衡机制[J]. 重庆邮电大学学报(自然科学版), 2016, 28(6): 758-762. DOI: 10.3979/j.issn.1673-825X.2016.06.002
作者姓名:刘占军  彭霞  何俞瞡  陈前斌
作者单位:重庆邮电大学 移动通信技术重庆市重点实验室,重庆,400065
基金项目:国家863高技术研究发展计划项目基金(2014AA01A701)
摘    要:在协作通信存在的网络中,针对已有的负载均衡技术没有考虑用户切换后协作概率的不足,在已有的负载均衡技术基础上,利用目标小区负载状况得到切换后的协作概率,与小区信号强度和负载状况相结合,设计出应用于协作通信网络中具有负载均衡功能的切换判决函数,提高切换判决的精度。仿真表明该机制在均衡网络负载的同时,提高了系统容量和公平性。

关 键 词:用户协作  协作概率  切换  负载均衡  公平性
收稿时间:2015-08-31
修稿时间:2016-03-12

Load balancing mechanism based on cooperation probability in cooperative communication network
LIU Zhanjun,PENG Xi,HE Yujing and CHEN Qianbin. Load balancing mechanism based on cooperation probability in cooperative communication network[J]. Journal of Chongqing University of Posts and Telecommunications, 2016, 28(6): 758-762. DOI: 10.3979/j.issn.1673-825X.2016.06.002
Authors:LIU Zhanjun  PENG Xi  HE Yujing  CHEN Qianbin
Affiliation:Key Lab of Mobile Communication Technology,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China,Key Lab of Mobile Communication Technology,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China,Key Lab of Mobile Communication Technology,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China and Key Lab of Mobile Communication Technology,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China
Abstract:In cooperative communication networks, in order to overcome the shortcoming of existing load balancing technologies that they don''t take the cooperation probability of user after handover into consideration, the handover decision function which makes a combination of the received signal strength, the load of BS (base station) and the cooperation probability calculated by the load of BS is designed to improve the accuracy of handover decision and balance the load based on the existing load balancing technology. The simulation results show that the mechanism can improve the system capacity and network fairness while balancing the network load.
Keywords:user cooperation   cooperation probability   handover   load balancing   fairness
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