Abstract
This paper investigates energy harvesting based multiuser system with large-scale distributed antennas, where a large number of remote antenna units (RAUs) are evenly separated across multiple circles. An efficient wireless energy and information transmission protocol is proposed. To save the signaling and the radio frequency chains overheads, the RAU with the shortest distance towards a user equipment (UE) is employed for the downlink wireless energy transfer (WET). In the uplink phase, we analyze the probability of wireless information transmission (WIT) of UEs. Then, linear zero-forcing detection and minimum-mean-square error are used to separate the data information among all the UEs that satisfy the requirement of WIT. The asymptotic throughput for an arbitrary UE is derived in closed-form. The time fraction used for the WET is optimized through maximizing the asymptotic throughput. Numerical and simulation results are given to verify the theoretical analysis, and bring to light the time fraction planning and the RAUs deployment for the system.
Highlights
As the key technology of the fifth-generation (5G), massive multiple-input multiple-output (MIMO) has been pervasively studied in recent years [1]
Since in massive MIMO, high hardware cost and signaling overheads are produced by an excessive number of radio frequency (RF) chains, choosing optimal remote antenna units (RAUs) for wireless energy transfer (WET) towards user equipment (UE) is an effective way for the issues [26]
The impacts various parameters, such as the locations of the UE, the number of circles, the number of the RAUs, of various parameters, such as the locations of the UE, the number of circles, the number of the RAUs, as well as the energy harvesting (EH) time fraction on the throughput performance are revealed by numerical analysis
Summary
As the key technology of the fifth-generation (5G), massive multiple-input multiple-output (MIMO) has been pervasively studied in recent years [1]. Since all the RAUs in a cell are cooperative for information transmission, DAS with large-scale antennas can be treated as an extension of the centralized massive MIMO. Since in massive MIMO, high hardware cost and signaling overheads are produced by an excessive number of RF chains, choosing optimal RAUs for WET towards UEs is an effective way for the issues [26]. In reference [31], the author designs a feasible wireless-powered massive DAS and employs the best channel quality based antenna selection scheme to analyze the throughput performance for a single user scenario. We consider the multiple-circle layout based massively DAS for multiuser scenario, and study the throughput performance based on EH.
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