TY - GEN
T1 - Joint link selection and relay power allocation for energy harvesting relaying systems
AU - Mao, Yuyi
AU - Zhang, Jun
AU - Song, S. H.
AU - Letaief, K. B.
PY - 2014/2/9
Y1 - 2014/2/9
N2 - 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.
AB - 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.
KW - Cooperative Communication
KW - Energy Harvesting
KW - Link Selection
KW - Power Allocation
UR - http://www.scopus.com/inward/record.url?scp=84949922292&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2014.7037194
DO - 10.1109/GLOCOM.2014.7037194
M3 - Conference article published in proceeding or book
AN - SCOPUS:84949922292
T3 - 2014 IEEE Global Communications Conference, GLOBECOM 2014
SP - 2568
EP - 2573
BT - 2014 IEEE Global Communications Conference, GLOBECOM 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Global Communications Conference, GLOBECOM 2014
Y2 - 8 December 2014 through 12 December 2014
ER -