Global Energy Efficiency Optimization for Wireless-Powered Massive MIMO Aided Multiway AF Relay Networks

• Published in: IEEE transactions on signal processing Vol. 66; no. 9; pp. 2384 - 2398
• Main Authors: Tan, Fangqing, Lv, Tiejun, Huang, Pingmu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-05-2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Beamforming; Energy efficiency; Energy transmission; Iterative algorithms; Iterative methods; large-scale/massive MIMO; Maximization; MIMO communication; multi-way relay; Optimization; power control; Power efficiency; Relay networks; Relays; Resource allocation; Resource management; Throughput; time allocation; Transceivers; Wireless communication; wireless power transfer; Wireless sensor networks
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2018.2811732

This paper considers a wireless-powered massive multi-input multioutput aided multiway amplify-and-forward relay network, where a relay equipped with massive antennas charges users through energy beamforming and assists with wireless information transmission. For this system, we propose a novel energy-efficient resource allocation scheme for the global energy efficiency (GEE) optimization. In particular, we first derive an accurate closed-form expression of GEE when zero-forcing transceivers are employed in the considered system. Second, based on this analytical expression, we formulate a resource allocation optimization problem for the GEE maximization by jointly optimizing power and time allocation, subject to limited transmit power, time duration, and minimum quality-of-service constraints. Due to the complexity of this nonconvex optimization, a two-layer iterative algorithm is proposed to address the original GEE maximization problem. Numerical results demonstrate the accuracy of our theoretical analysis and the effectiveness of the derived algorithms.