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异构网络资源分配:改进多对一转移匹配
引用本文:刘 岗,赵杭生,李大力,邵鸿翔. 异构网络资源分配:改进多对一转移匹配[J]. 计算机工程与应用, 2018, 54(15): 91-96. DOI: 10.3778/j.issn.1002-8331.1703-0554
作者姓名:刘 岗  赵杭生  李大力  邵鸿翔
作者单位:1.解放军理工大学 通信工程学院,南京 2100072.南京电讯技术研究所,南京 210007
摘    要:随着无线业务的急剧增长,短缺的频谱资源正面临着巨大挑战。采用无线异构网络被视作解决此问题,提高频谱利用率的一种有效手段。但是,由于宏蜂窝和微蜂窝共享相同频谱资源,同层和跨层干扰非常严重,这时如何合理进行资源分配成了一个棘手的问题。针对该问题,根据匹配理论提出了一种改进多对一转移匹配算法进行资源分配。该算法在满足交换条件下,通过微蜂窝用户不断地交换其匹配资源,最终形成稳定转移匹配。仿真结果表明,所提改进转移匹配算法较传统转移匹配算法和改进Gale-Shapley匹配算法性能更易收敛到最优解,同时提高了频谱利用率,降低了计算复杂度。

关 键 词:异构网络  资源分配  干扰管理  转移匹配  最优化  

Resource allocation in heterogeneous network networks: Modified many-to-one swap matching
LIU Gang,ZHAO Hangsheng,LI Dali,SHAO Hongxiang. Resource allocation in heterogeneous network networks: Modified many-to-one swap matching[J]. Computer Engineering and Applications, 2018, 54(15): 91-96. DOI: 10.3778/j.issn.1002-8331.1703-0554
Authors:LIU Gang  ZHAO Hangsheng  LI Dali  SHAO Hongxiang
Affiliation:1.Institute of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China2.Nanjing Telecommunication Technology Institute, Nanjing 210007, China
Abstract:With the rapid increase of wireless service, applying wireless heterogeneous network is considered as a promising technique to solve this problem and increase the resource utilization rate. However, it is difficult to achieve rational spectrum resource allocation when macro-cellular users and femto-cellualr users exist in a network which will introduce the serious cross-interference and inter-interference. To solve this problem, a modified swap matching algorithm based on stable matching theory is proposed to allocate the resource. In the algorithm, femto-cellualr users continuously exchange there matched resources under the given conditions, and reach a stable swap matching finally. Simulation results show that the given modified swap matching algorithm can achieve a better solution than traditional swap matching algorithm and the modified Gale-Shapley matching algorithm and increase the resource utilization rate with a lower computation complexity.
Keywords:heterogeneous network  resource allocation  interference management  swap matching  optimization  
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