Sum-Rate Maximization for Multiuser MIMO Wireless Powered Communication Networks

• Published in: IEEE transactions on vehicular technology Vol. 65; no. 11; pp. 9420 - 9424
• Main Authors: Lee, Hoon, Lee, Kyoung-Jae, Kong, Han-Bae, Lee, Inkyu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-11-2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Communication networks; Covariance matrices; Covariance matrix; Downlink; Downlinking; Maximization; MIMO; MIMO communication; Multiple-input multiple-output (MIMO) systems; Optimization; Resource management; Uplink; Uplinking; Wireless communication; Wireless communications; wireless energy transfer (WET); Wireless networks; wireless powered communication networks (WPCNs)
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2016.2515607

This paper investigates multiuser multiple-input-multiple-output (MIMO) wireless powered communication networks where a multiantenna hybrid access point (H-AP) transfers wireless energy to multiantenna users in a downlink phase, and the users utilize the harvested energy for their information transmission to the H-AP in an uplink phase. By employing space-division multiple-access techniques, we propose an optimal algorithm that jointly computes the downlink energy precoding matrices, the uplink information precoding matrices, and time allocation between the downlink and the uplink phases for maximizing the uplink sum-rate performance. To this end, we first obtain the optimal energy and information transmit covariance matrices with given time allocation. Then, the optimal time allocation can be efficiently identified by a simple line search method. Simulation results verify that the proposed joint optimal algorithm significantly improves the average sum-rate performance, compared with a conventional scheme that determines time allocation and precoding matrices separately.