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Distributed Resource Allocation for General Energy Efficiency Maximization in Offshore Maritime Device-to-Device Communication
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2021-03-17 , DOI: 10.1109/lwc.2021.3066387
Xiaojing Huang , Kuan Wu , Ming Jiang , Ling Huang , Jianxun Xu

In maritime scenario, the communication service, if any, is likely to be expensive due to the high-cost satellite transmissions or the very limited offshore coverage of terrestrial networks. Thus, how to achieve efficient radio resource management is one of the critical issues in maritime communication. In this letter, by exploiting the device-to-device (D2D) mechanism, we identify a general energy efficiency (GEE) optimization problem, which takes into account the physical link performance and the users’ pairing willingness (PW) quantified by a modified Jaccard coefficient metric. Then, we divide the GEE optimization problem into two sub-problems of user pairing and power allocation, and solve them by a distributed pairing method and by a new distributed resource allocation scheme, respectively. Simulation results demonstrate significant performance gains achieved by the proposed GEE maximization-based distributed D2D resource allocation (GEEM-DD2D-RA) algorithm over existing methods.

中文翻译:

海上海上设备到设备通信中通用能源效率最大化的分布式资源分配

在海上场景中,由于卫星传输成本高昂或陆地网络的离岸覆盖范围非常有限,因此通信服务(如果有)可能会很昂贵。因此,如何实现高效的无线电资源管理是水上通信的关键问题之一。在这封信中,通过利用设备到设备 (D2D) 机制,我们确定了一般能效 (GEE) 优化问题,该问题考虑了物理链路性能和用户的配对意愿 (PW),通过修改后的量化Jaccard 系数度量。然后,我们将GEE优化问题分为用户配对和功率分配两个子问题,分别采用分布式配对方法和新的分布式资源分配方案求解。
更新日期:2021-03-17
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