DocumentCode :
266279
Title :
Joint link selection and relay power allocation for energy harvesting relaying systems
Author :
Yuyi Mao ; Jun Zhang ; Song, S.H. ; Letaief, K.B.
Author_Institution :
Dept. of ECE, Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
2568
Lastpage :
2573
Abstract :
Energy harvesting (EH) has recently been attracting significant attention because of its ability to scavenge environmentally friendly energy. In this paper, we investigate the use of EH relay nodes to improve the quality of service (QoS) for relaying networks. To simplify the hardware design, we adopt a half-duplex selective decode-and-forward (SDF) relay. We propose a joint link selection and relay power allocation strategy to minimize the average outage probability. Both offline and online policies, i.e., with non-causal or causal side information about the energy state and the decoding result at the relay, are investigated by utilizing deterministic and stochastic dynamic programming (DP) algorithms, respectively. Furthermore, to reduce the complexity of the optimal online solution, we propose two low-complexity suboptimal online policies. Simulation results will show that the proposed suboptimal policies outperform the existing policies and achieve near optimal performance.
Keywords :
dynamic programming; energy harvesting; probability; quality of service; relays; stochastic programming; DP algorithms; EH relay nodes; QoS; SDF relay; average outage probability; energy harvesting relaying systems; half-duplex selective decode-and-forward relay; hardware design; joint link selection; low-complexity suboptimal online policies; online policies; quality of service; relay power allocation; stochastic dynamic programming; Communication systems; Complexity theory; Decoding; Joints; Prediction algorithms; Relays; Resource management; Cooperative Communication; Energy Harvesting; Link Selection; Power Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037194
Filename :
7037194
Link To Document :
بازگشت