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基于容量最优化的设备间通信资源分配方案
张正一1, 李莉1, 罗汉文1,2, 王路1
1.上海师范大学 信息与机电工程学院, 上海 200234;2.上海交通大学 电子信息与电气工程学院, 上海 200240
摘要:
在蜂窝网络中通过复用蜂窝系统中已使用的频谱资源,来增加蜂窝系统的频谱利用率,减少基站的负载.同时,通过使用模糊C均值(FCM)算法对复用相同资源的设备间 (D2D) 通信用户对进行分簇,达到减小复用同频带D2D通信用户对(DU)之间干扰的目的.通过贪婪算法对每一簇DU对进行资源分配,达到减小蜂窝用户与DU之间的干扰的目的.仿真结果显示,相比于随机分簇和随机复用的资源分配方案,FCM算法与贪婪算法的资源分配方案更有效地提高了系统总容量.
关键词:  设备间通信  资源分配  模糊C均值算法  贪婪算法
DOI:10.3969/J.ISSN.1000-5137.2017.01.007
分类号:
基金项目:国家自然科学基金青年科学基金(61503251)
Resource allocation based on capacity optimization for device-to-device communication
Zhang Zhengyi1, Li Li1, Luo Hanwen1,2, Wang Lu1
1.College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China;2.School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:
To reduce the base station load,spectrum utilization in cellular network is increased by reusing the spectrum that has been used.At the same time,the users that use same spectrum are clustered via using the fuzzy c-means (FCM) algorithm to reduce interference among device-to-device (D2D) users who use the same frequency.Resource allocation is realized by using greedy algorithm to reduce interference between D2D users and cellular users.The simulation result shows that,compared with random clustering and random resource allocation,resource allocation scheme based on the FCM algorithm and greedy algorithm can improve system capacity more effectively.
Key words:  device-to-device communication  resource allocation  fuzzy c-means algorithm  greedy algorithm