基于社会域和物理域的自适应D2D多播分簇算法
Adaptive D2D multicast clustering algorithm based on social and physical domain
投稿时间:2020-11-19  修订日期:2020-11-19
DOI:
中文关键词: D2D通信  多播  分簇  接入率
英文关键词: Device-to-Device(D2D)communication  multicast  clustering  access rate
基金项目:国家自然科学基金项目;湖北省自然科学基金重点项目
作者单位E-mail
汪汉新 中南民族大学 wanghx8888@163.com 
任星倩 中南民族大学 903608686@qq.com 
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中文摘要:
      针对D2D多播通信网络中可复用信道数量的时变性和用户接入率不高的问题,提出了一种结合社会域和物理域的自适应D2D多播分簇算法(SD-AMC)。根据信道数量和信道状态信息,以分段函数方式自适应产生一个簇成员亲密度阈值,并在选取簇成员用户时通过亲密度阈值对簇成员进行筛选,使最终的分簇数量与可复用信道数量尽量匹配,进而提高D2D多播用户的接入率。仿真结果显示,提出的SD-AMC分簇算法的D2D多播通信用户的接入率比贪婪迭代算法可以提高约10%。
英文摘要:
      Aiming at the problem of time variability of multiplexable channels and low user access rate in D2D multicast communication networks, an adaptive D2D multicast clustering algorithm (SD-AMC) based on the social and the physical domain is proposed. While selecting cluster member users, the cluster members are filtered by setting a cluster member intimacy threshold which is adaptively selected in a piecewise function according to the channel number and channel state information conditions, it can make the final number of clusters match the number of multiplexable channels as much as possible, thereby improve the access rate of D2D multicast users. The simulation results show that the D2D multicast communication user access rate of the proposed SD-AMC algorithm can be increased by about 10% compared with the greedy iterative algorithm.
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