Relay selection for energy harvesting cooperative communication systems

Energy harvesting (EH) has recently emerged as a promising technique for green communications, as it can power communication systems with renewable energy. In this paper, we investigate how to adopt cooperative relay selection to improve the short-term performance of EH communication systems. The main focus is on how to efficiently utilize the available side information (SI), including channel side information (CSI) and energy side information (ESI). We formulate relay selection problems with either non-causal or causal SI, with an emphasis on the more practical causal case. For this causal SI case, we propose a low-complexity relay selection strategy based on the relative throughput, that is, in each block, the relay with enough energy and with the highest instantaneous throughput compared with the average throughput is selected. This relay selection rule captures the key characteristic of EH systems, namely, each relay should have some chance to be selected so that the harvested energy can be efficiently utilized, and it should be selected only if its throughput is near its own peak. Simulation results will show that the proposed relay selection method provides significant throughput gain over the conventional one which is only based on the current side information.

[1]  Elza Erkip,et al.  Optimal transmission policies for energy harvesting two-hop networks , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[2]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

[3]  Deniz Gündüz,et al.  Two-hop communication with energy harvesting , 2011, 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[4]  Norman C. Beaulieu,et al.  Exact Analysis of Dual-Hop AF Maximum End-to-End SNR Relay Selection , 2012, IEEE Transactions on Communications.

[5]  Khaled Ben Letaief,et al.  Optimal Scheduling and Power Allocation for Two-Hop Energy Harvesting Communication Systems , 2012, IEEE Transactions on Wireless Communications.

[6]  Neelesh B. Mehta,et al.  Voluntary Energy Harvesting Relays and Selection in Cooperative Wireless Networks , 2010, IEEE Transactions on Wireless Communications.

[7]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[8]  Shuguang Cui,et al.  Optimal Power Allocation for Outage Probability Minimization in Fading Channels with Energy Harvesting Constraints , 2012, IEEE Transactions on Wireless Communications.

[9]  Richard M. Soland,et al.  A branch and bound algorithm for the generalized assignment problem , 1975, Math. Program..

[10]  Elza Erkip,et al.  Energy harvesting two-hop networks: Optimal policies for the multi-energy arrival case , 2012, 2012 35th IEEE Sarnoff Symposium.

[11]  Jing Yang,et al.  Optimal Packet Scheduling in an Energy Harvesting Communication System , 2010, IEEE Transactions on Communications.

[12]  Rui Zhang,et al.  Optimal Energy Allocation for Wireless Communications With Energy Harvesting Constraints , 2011, IEEE Transactions on Signal Processing.

[13]  Khaled Ben Letaief,et al.  Training optimization for energy harvesting communication systems , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[14]  H. Edwin Romeijn,et al.  The Generalized Assignment Problem and Extensions , 2004 .

[15]  Shuguang Cui,et al.  Optimal Power Allocation for Outage Minimization in Fading Channels with Energy Harvesting Constraints , 2012, ArXiv.

[16]  Jing Yang,et al.  Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies , 2011, IEEE Journal on Selected Areas in Communications.