Resource Allocation Techniques for Wireless Powered Communication Networks With Energy Storage Constraint
Resource Allocation Techniques for Wireless Powered Communication Networks With Energy Storage Constraint
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DOI：
10.1109/twc.2015.2506561
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发表时间：
2016-04-01
影响因子：
10.4
通讯作者：
Lee, Inkyu
中科院分区：
文献类型：
--
作者：
Lee, Hoon;Lee, Kyoung-Jae;Lee, Inkyu
本文研究了多源无线电动通信网络，在该网络中，能量用户通过清除从混合接入点（H-AP）辐射的射频信号的能量来限制其能量存储。然后将能源用于用户的上行链路信息传输到时部多访问模式的HAP。在此系统中，我们旨在通过共同优化无限容量和有限容量存储案例的多个用户的能源和时间资源分配来最大化上行链路总和的性能。首先，当用户配备了无限的能源储藏时，我们将在HAP中得出最佳的下行链路传输策略。基于此结果，获得了分析资源分配解决方案。接下来，我们建议每个用户具有有限容量存储的情况下的最佳能量和时间分配算法。仿真结果证实，所提出的算法比常规方案提供约30％的平均总和率绩效增长。
This paper studies multiuser wireless powered communication networks, where energy constrained users charge their energy storages by scavenging energy of the radio frequency signals radiated from a hybrid access point (H-AP). The energy is then utilized for the users' uplink information transmission to the H-AP in time division multiple access mode. In this system, we aim to maximize the uplink sum rate performance by jointly optimizing energy and time resource allocation for multiple users in both infinite capacity and finite capacity energy storage cases. First, when the users are equipped with the infinite capacity energy storages, we derive the optimal downlink energy transmission policy at the H-AP. Based on this result, analytical resource allocation solutions are obtained. Next, we propose the optimal energy and time allocation algorithm for the case where each user has finite capacity energy storage. Simulation results confirm that the proposed algorithms offer about 30% average sum rate performance gain over conventional schemes.