Robust Designs of Beamforming and Power Splitting for Distributed Antenna Systems With Wireless Energy Harvesting
- Authors
- Zhu, Zhengyu; Huang, Sai; Chu, Zheng; Zhou, Fuhui; Zhang, Di; Lee, Inkyu
- Issue Date
- 3월-2019
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Distributed antenna systems; energy harvesting; simultaneous wireless information and power transmission
- Citation
- IEEE SYSTEMS JOURNAL, v.13, no.1, pp.30 - 41
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE SYSTEMS JOURNAL
- Volume
- 13
- Number
- 1
- Start Page
- 30
- End Page
- 41
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/67162
- DOI
- 10.1109/JSYST.2018.2793903
- ISSN
- 1932-8184
- Abstract
- In this paper, we investigate a multiuser distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information (CSI). In this system, a distributed antenna port with multiple antennas supports a set of mobile stations that can decode information and harvest energy simultaneously via a power splitter. To design robust transmit beamforming vectors and the power splitting factors in the presence of CSI errors, we maximize the average worst-case signal-to-interference-plus-noise ratio (SINR) while achieving an individual energy harvesting constraint for each mobile station. First, we develop an efficient algorithm to convert themax-min SINR problem to a set of "dual" min-max power balancing problems. Then, motivated by the penalty function method, an iterative algorithm based on semidefinite programming is proposed to achieve a local optimal rank-one solution. Also, to reduce the computational complexity, we present another iterative scheme based on the Lagrangian method and the successive convex approximation technique to yield a suboptimal solution. Simulation results are shown to validate the robustness and effectiveness of the proposed algorithms.
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