Title :
Joint Power Splitting and Antenna Selection in Energy Harvesting Relay Channels
Author :
Zheng Zhou ; Mugen Peng ; Zhongyuan Zhao ; Yong Li
Author_Institution :
Key Lab. of Universal Wireless Commun. for Minist. of Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
The simultaneous wireless transfer of information and power with the help of a relay equipped with multiple antennas is considered in this letter, where a “harvest-and-forward” strategy is proposed. In particular, the relay harvests energy and obtains information from the source with the radio-frequent signals by jointly using the antenna selection (AS) and power splitting (PS) techniques, and then the processed information is amplified and forwarded to the destination relying on the harvested energy. This letter jointly optimizes AS and PS to maximize the achievable rate for the proposed strategy. Considering that the joint optimization is according to the non-convex problem, a two-stage procedure is proposed to determine the optimal ratio of received signal power split for energy harvesting, and the optimized antenna set engaged in information forwarding. Simulation results confirm the accuracy of the two-stage procedure, and demonstrate that the proposed “harvest-and-forward” strategy outperforms the conventional amplify-and-forward (AF) relaying and the direct transmission.
Keywords :
amplify and forward communication; antennas; concave programming; energy harvesting; radiofrequency power transmission; relay networks (telecommunication); AF relaying; PS technique; amplify-and-forward relaying; direct transmission; energy harvesting relay channel; harvest-and-forward strategy; information forwarding; joint optimization; multiple antenna selection; nonconvex problem; power splitting technique; radio frequency signal; received signal power split optimal ratio; wireless information transfer; wireless power transfer; Antennas; Energy harvesting; Joints; Optimization; Relays; Signal to noise ratio; Wireless communication; Antenna selection; energy harvesting; power splitting;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2014.2369748