Multi-Dimensional Resource Allocation for Uplink Throughput Maximisation in Integrated Data and Energy Communication Networks
Multi-Dimensional Resource Allocation for Uplink Throughput Maximisation in Integrated Data and Energy Communication Networks
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DOI：
10.1109/access.2018.2865402
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发表时间：
2018-08
期刊：
影响因子：
3.9
通讯作者：
Jianjun Yang;Jie Hu;Kesi Lv;Qin Yu;Kun Yang
中科院分区：
文献类型：
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作者：
Jianjun Yang;Jie Hu;Kesi Lv;Qin Yu;Kun Yang
基于射频（RF）信号的无线电源与信息传输跨学科研究有望解决大规模部署的低功耗物联网设备中的能量短缺问题。与传统的无线供电通信网络（wpcn）不同，混合基站（H-BS）采用同步无线信息和功率传输（SWIPT），以满足多用户设备（ue）的下行数据和能量需求。可以耗尽从下行链路传输收集的能量以支持ue的上行链路传输。将SWIPT集成到WPCN的下行传输中，产生一个通用的集成数据和能源通信网络，其中H-BS配备了多个天线，下行和上行传输都在时域上开槽。在满足终端最小下行传输要求的同时，通过共同优化H-BS在空域的发射波束形成、在时域的时隙分配和在功率域的信号分割策略，实现上行传输的总吞吐量和公平吞吐量的最大化。由于问题的非凸性，采用了一种低复杂度的连续凸逼近算法，在时域、幂域和空域分别获得最优的资源分配方案。数值结果验证了我们所提出的资源分配算法的有效性，也证明了在下行传输期间支持低速率数据业务不会降低无线电力传输，因此不会降低上行吞吐量。
The interdisciplinary research of the radio-frequency (RF) signal-based wireless power and information transfer is expected to address the energy shortage issue in the massively deployed low-power Internet of Things devices. Different from conventional wireless powered communication networks (WPCNs), the hybrid base station (H-BS) adopts the simultaneous wireless information and power transfer (SWIPT) for the sake of satisfying the downlink data and energy requests of the multiple user equipments (UEs). The energy harvested from the downlink transmissions can be depleted for supporting the UEs’ uplink transmissions. Integrating SWIPT in the downlink transmission of the WPCN yields a generic integrated data and energy communication network, where the H-BS is equipped with multiple antennas and both the downlink and uplink transmissions are slotted in the time-domain. Furthermore, both the sum-throughput and the fair-throughput of the uplink transmissions are maximized by jointly optimizing the transmit beamformer of the H-BS in the spatial-domain, the time-slot allocation in the time-domain and the signal splitting strategies of the UEs in the power domain, while satisfying the UEs’ minimum downlink transmission requirements. Due to the non-convexity of the problem, a low-complexity successive convex approximation-based algorithm is relied upon for obtaining the optimal resource allocation scheme in the time-domain, power-domain, and spatial-domain. The numerical results validate the efficiency of our proposed resource allocation algorithm and they also demonstrate that supporting low-rate data services during the downlink transmissions does not degrade the wireless power transfer and hence does not reduce the uplink throughput.