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作 者:李良 杨新杰 LI Liang;YANG Xinjie(Faculty of Electrical Engineering and Computer Science,Ningbo University,Ningbo 315211,China)
机构地区:[1]宁波大学信息科学与工程学院,浙江宁波315211
出 处:《电信科学》2022年第8期101-110,共10页Telecommunications Science
基 金:国家重点实验室开放基金项目(No.SKLNST-2021-1-12);宁波市自然科学基金项目(No.2019A610073)。
摘 要:将社交域引入蜂窝网络场景中的多跳设备到设备(device-to-device,D2D)通信中,并提出了一种用于蜂窝网络下多跳D2D通信的新颖中继选择算法。不同于以往的中继选择算法,所提出的算法以反向顺序选择每一跳的中继,减少了算法执行所产生的信令开销。在算法中引入了社交域信息,研究了社交域信息在多跳D2D通信中的作用。研究结果表明,终端用户之间的社交关系对算法性能具有不可忽略的影响,从而为实际系统的算法实现提供了一定的指导意义。另外,通过大量的蒙特卡洛仿真得到的结果表明,所提算法在不考虑社交关系信息时吞吐量和能量效率均优于对比算法,在考虑社交关系信息时,尽管其吞吐量会自然降低,但其能量效率远远优于对比算法。The social domain was introduced to multi-hop D2D(device-to-device)communication in cellular network scenarios,and a novel relay selection algorithm for multi-hop D2D communication under cellular network was pro-posed.Unlike existing relay selection algorithms,the proposed algorithm selects relays for each hop in reverse order,which reduces the signaling overhead caused by algorithm implement.Then,social domain information of mobile terminals was introduced to the algorithm and its influence on the algorithm’s performance was studied,which was found significant enough not to be overlooked hence providing useful guidance to designing algorithms in practical systems.Moreover,via extensive Monte Carlo simulations,it is discovered that the proposed algorithm outperforms the benchmarks in terms of data throughput and energy efficiency in absence of social relationship information.In a more practical implementation with social relationship information included,the proposed algorithm though naturally achieving less throughput,significantly outperforms the benchmarks in energy efficiency.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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