Abstract | ||
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Wireless power transfer via radio-frequency (RF) radiation is regarded as a potential solution to energize energy-constrained users, who are deployed close to the base stations (near-by users). However, energy transfer requires much more transmit power than normal information transfer, which makes it very challenging to provide the quality of service in terms of throughput for all near-by users and cell- edge users. Thus, it is of practical interest to employ non- orthogonal multiple access (NOMA) to improve the throughput of all network users, while fulfilling the energy harvesting requirements of the near-by users. To realize both energy harvesting and information decoding, we consider a transmit time-switching (transmit-TS) protocol. We formulate two important beamfoming problems of users max-min throughput optimization and energy efficiency maximization under power constraint and energy harvesting thresholds at the nearly-located users. For these problems, the optimization objective and energy harvesting are highly non-convex in beamforming vectors. Thus, we develop efficient path-following algorithms to solve them. In addition, we also consider conventional power splitting (PS)-based energy harvesting receiver. Our numerical results confirm that the proposed transmit-TS based algorithms clearly outperform PS-based algorithms in terms of both, throughput and energy efficiency. |
Year | Venue | Field |
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2018 | arXiv: Information Theory | Beamforming,Base station,Mathematical optimization,Transmitter power output,Information transfer,Efficient energy use,Energy harvesting,Quality of service,Throughput,Mathematics,Distributed computing |
DocType | Volume | Citations |
Journal | abs/1803.09225 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ali A. Nasir | 1 | 1094 | 56.86 |
Hoang D. Tuan | 2 | 1936 | 191.03 |
Trung Q. Duong | 3 | 2911 | 171.22 |
Mérouane Debbah | 4 | 8575 | 477.64 |