期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 16, 期 5, 页码 3282-3297出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2017.2679055
关键词
Full-duplexing transceiver; energy harvesting; information precoder; energy precoder; path-following algorithm; matrix inequality
资金
- Australian Research Council [DP130104617]
- U.K. Royal Academy of Engineering Research Fellowship [RF1415/14/22]
- U.K. Engineering and Physical Sciences Research Council [EP/P019374/1]
- U.S. National Science Foundation [CNS-1456793, ECCS-1647198]
- King Fahd University of Petroleum and Minerals [SR161003]
- EPSRC [EP/P019374/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/P019374/1] Funding Source: researchfish
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1456793] Funding Source: National Science Foundation
This paper considers the efficient design of precoding matrices for sum throughput maximization under throughput quality of service (QoS) constraints and energy harvesting (EH) constraints for energy-constrained devices in a full-duplex (FD) multicell multi-user multiple-input-multiple-output network. Both time splitting (TS) and power splitting are considered to ensure practical EH and information decoding. These problems are quite complex due to non-concave objectives and nonconvex constraints. Especially, with TS, which is implementation-wise quite simple, the problem is even more challenging because the time splitting variable is not only coupled with the downlink throughput function but also coupled with the self-interference in the uplink throughput function. New path-following algorithms are developed for their solutions, which require only a single convex quadratic program for each iteration and ensure rapid convergence. Moreover, the FD EH maximization problem under throughput QoS constraints with TS is also considered. The performance of the proposed algorithms is compared with that of the modified problems assuming half-duplex systems. Finally, the merit of the proposed algorithms is demonstrated through extensive simulations.
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