Joint Transceiver Optimization for MISO SWIPT Systems With Time Switching
- Authors
- Lee, Hoon; Lee, Kyoung-Jae; Kim, Hanjin; Lee, Inkyu
- Issue Date
- 5월-2018
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Wireless power transfer; simultaneous wireless information and power transfer (SWIPT); time switching (TS); multiple antenna techniques
- Citation
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.17, no.5, pp.3298 - 3312
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Volume
- 17
- Number
- 5
- Start Page
- 3298
- End Page
- 3312
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/75613
- DOI
- 10.1109/TWC.2018.2809734
- ISSN
- 1536-1276
- Abstract
- This paper considers multiple-input single-output simultaneous wireless information and power transfer (SWIPT) broadcast channels (BCs) where a multi-antenna transmitter serves single antenna receivers each equipped with a time switching (TS) circuit for information decoding (ID) and energy harvesting (EH). To be specific, we study a scheme which jointly determines the time durations allocated for the ID and the EH modes at each receiver and the transmit covariance matrices at the transmitter. Then, we present a general joint TS protocol for the SWIPT BC which includes conventional TS schemes as special cases. In order to fully characterize the performance of the proposed joint TS systems, the achievable rate region is analyzed under EH constraint at the receivers. By applying the rate profile methods, we identify the optimal TS ratios and the optimal transmit covariance matrices which achieve the boundary points of the rate region. Then, the boundary points are obtained by solving the average transmit power minimization problems with individual rate constraints at the receivers. To solve these non-convex problems, the original problems are decoupled into subproblems with fixed auxiliary variables. Then, the globally optimal TS ratios and the transmit covariance matrices are computed by finding the optimal auxiliary variables via convex optimization techniques. Numerical results demonstrate that the proposed joint TS scheme outperforms conventional TS methods.
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