毫微微小区网络中采用双层博弈的资源分配

doi:10.3969/j.issn.1001-2400.2017.04.012

西安电子科技大学学报

毫微微小区网络中采用双层博弈的资源分配

周彦果;张海林;陈瑞瑞

(西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071)

收稿日期:2016-12-27 出版日期:2017-08-20 发布日期:2017-09-29
作者简介:周彦果(1989-)，女，西安电子科技大学博士研究生，E-mail：ygzhou@stu.xidian.edu.cn
基金资助:
国家自然科学基金资助项目(61671341,61371127)

Two-layered game-theoretic based resource allocation in femtocell networks

ZHOU Yanguo;ZHANG Hailin;CHEN Ruirui

(State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071, China)

Received:2016-12-27 Online:2017-08-20 Published:2017-09-29

摘要/Abstract

摘要：

在利用正交频分多址接入技术的毫微微小区网络中，为避免家庭用户对使用同一子载波的宏用户及其他家庭用户的过度干扰并实现系统频率资源的的合理利用，提出了一种联合功率控制和子载波选择的分布式算法．该算法在双层博弈的框架下，利用定价机制和复制动态原理，通过非合作子博弈和演化子博弈两层博弈的交替迭代，实现了抑制家庭用户对其他用户的过度干扰和子载波的平衡利用．仿真结果表明，该双层博弈分布式算法可以收敛到纳什均衡．

关键词: 毫微微小区, 功率控制, 子载波选择, 双层博弈, 分布式算法

Abstract:

In orthogonal frequency division multiple access(OFDMA) based femtocell networks, to improve the spectrum efficiency and avoid the interference from the femtocell user equipment(FUE) to macrocell user equipment(MUE) and other femtocell users equipments(FUEs), the joint power control and subcarrier selection distributed algorithm is proposed. In the framework of the two-layered game, the proposed distributed algorithm, which is based on the pricing mechanism and the dynamic replication scheme, can effectively suppress the interference from the FUE to other users and select the optimal subcarrier by the alternate iterations of the non-cooperative game and evolutionary game. Simulation results show that the proposed algorithm can converge to the Nash equilibrium(NE) of the two-layered game.

Key words: femtocell networks, power control, subcarrier selection, two-layered game, distributed algorithm

周彦果;张海林;陈瑞瑞. 毫微微小区网络中采用双层博弈的资源分配[J]. 西安电子科技大学学报, 2017, 44(4): 62-68.

ZHOU Yanguo;ZHANG Hailin;CHEN Ruirui. Two-layered game-theoretic based resource allocation in femtocell networks[J]. Journal of Xidian University, 2017, 44(4): 62-68.

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毫微微小区网络中采用双层博弈的资源分配

Two-layered game-theoretic based resource allocation in femtocell networks

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