Joint Source-Relay Optimization for MIMO Full-Duplex Bidirectional Wireless Sensor Networks with SWIPT

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 8; p. 1827
• Main Authors: Liu, Dan, Wen, Zhigang, Liu, Xiaoqing, Li, Shan, Zou, Junwei
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 17.04.2019; MDPI AG
• Subjects: beamforming; bidirectional wireless sensor network (BWSN); full duplex (FD); multiple-input multiple-output (MIMO); simultaneous wireless information and power transfer (SWIPT); full duplex (FD); multiple-input multiple-output (MIMO); beamforming; bidirectional wireless sensor network (BWSN); simultaneous wireless information and power transfer (SWIPT)
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s19081827

The simultaneous wireless information and power transfer (SWIPT) technique has been considered as a promising approach to prolong the lifetime of energy-constraint wireless sensor networks (WSNs). In this paper, a multiple-input multiple-output (MIMO) full-duplex (FD) bidirectional wireless sensor network (BWSN) with SWIPT is investigated. Based on minimum total mean-square-error (total-MSE) criterion, a joint optimization problem for source and relay beamforming and source receiving subject to transmitting power and harvesting energy constraints is established. Since this problem is non-convex, an iterative algorithm based on feasible point pursuit-successive convex approximation (FPP-SCA) is derived to obtain a local optimum. Moreover, considering the scenarios in which source and relay nodes equipped with the same and different numbers of antennas, a low-complexity diagonalizing design-based scheme is employed to simplify each non-convex subproblem into convex problems and to reduce the computational complexity. Numerical results of the total-MSE and bit error rate (BER) are implemented to demonstrate the performance of the two different schemes.