移动中继协助下终端直通中面向能效的联合中继选择和资源分配方案

曲桦; 朱正仓; 赵季红; 唐睿; 王璐瑶; 曹照鑫

doi:10.11999/JEIT161359

移动中继协助下终端直通中面向能效的联合中继选择和资源分配方案

doi: 10.11999/JEIT161359

2.
(西安交通大学电子与信息工程学院西安 710049) ②(西安交通大学软件学院西安 710049)

基金项目:

国家自然科学基金(61372092, 61531013)，国家863计划(2014AA01A707)，江苏省自然科学基金(BK20141214)，教育部中国移动科研基金(MCM20150102)

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- 被引次数: 0
出版历程
- 收稿日期: 2016-12-13
- 修回日期: 2017-04-06
- 刊出日期: 2017-10-19

Energy-efficient Joint Relay Selection and Resource Allocation Scheme for Mobile Relay Aided Device-to-device Communication

2.
(School of Electronics and Information Engineering, Xi&rsquo

Funds:

The National Natural Science Foundation of China (61372092, 61531013), The National 863 Program of China (2014AA01A707), The Natural Science Foundation of Jiangsu Province (BK20141214), The Research Fund of Ministry of Education-China Mobile (MCM20150102)

摘要

摘要: 在移动中继协助下的终端直通(Device-to-Device, D2D)中，由于频带复用，D2D链路与已有蜂窝链路会产生同频干扰。另外，考虑到终端设备功率受限，该文提出一种联合功率控制、信道分配和移动中继选择方案最大化D2D链路总能量效率。原问题为分数规划问题，可转化为通过Dinkelbach算法求解的参数规划问题，此外，上述参数规划问题可进一步分解为功率控制子问题和联合优化信道分配与移动中继选择子问题。其中，功率控制子问题属于DC(Difference-of-Concave)规划问题，其一般意义下为NP-hard难题，可借助序列凸优化方法得到有效的近似解，基于上述结果，联合优化信道分配与移动中继选择子问题可转化为二分图中的最大匹配问题，继而借助匈牙利算法在多项式时间内求得最优解。通过仿真，验证了该方案在优化能量效率的效果。
- 终端直通 /
- 能量效率 /
- 分数规划 /
- DC(Difference-of-Concave)规划 /
- 二分图匹配
Abstract: In mobile relay-aided Device-to-Device (D2D) communication, the co-channel interference between D2D links and the existing links is inevitable due to spectral reuse. Besides, considering the limited battery lifetime of mobile terminals, a joint Power Control (PC), Channel Assignment (CA), and MR-selection scheme is proposed to maximize the global energy efficiency of MR-aided D2D communication. By exploring the property of fraction programming, the original problem can be transferred into solving a sequence of parametric programming problems via the Dinkelbach method. Besides, each parametric programming problem can be decomposed into two subproblems, i.e., the PC subproblem and the joint CA and MR selection subproblem. Moreover, the former turns out to be the Difference-of-Concave (DC), programming which is generally NP-hard, but it can be well addressed by sequential convex optimization technique. Based on the above results, the latter reduces to the bipartite matching problem which can be optimally solved by the Hungarian algorithm in polynomial time. Simulation results verify the efficacy of the proposed scheme.
- Device-to-Device (D2D) communication /
- Energy efficiency /
- Fractional programming /
- Difference-of- Concave (DC) programming /
- Bipartite matching

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参考文献(21)

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