TY - GEN
T1 - Relay and power splitting ratio selection for cooperative networks with energy harvesting
AU - Wang, Fei
AU - Guo, Songtao
AU - Yang, Yuanyuan
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2016/1/15
Y1 - 2016/1/15
N2 - This paper addresses the problem of joint relay and power splitting ratio selection along with power allocation for an energy harvesting (EH) cooperative network, where the source and the relays can harvest energy from natural sources (e.g., solar) and radio frequency (RF) signals, respectively. To effectively use the harvested energy from the source, the relays employ the power splitting technique to scavenge energy from RF signals radiated by the source. We formulate this problem into a non-convex constrained optimization problem with the objective of maximizing system payoff, which is defined as the difference between system transmission benefit and system energy cost, and meanwhile minimizing system outage probability in both offline and online settings. In particular, we consider both direct transmission and relay transmission in this paper. Relay transmission is selected dynamically based on network channel conditions and available energy of EH nodes. Our simulation results reveal that considering direct transmission and selecting relay transmission and power splitting ratio dynamically can greatly improve system performance.
AB - This paper addresses the problem of joint relay and power splitting ratio selection along with power allocation for an energy harvesting (EH) cooperative network, where the source and the relays can harvest energy from natural sources (e.g., solar) and radio frequency (RF) signals, respectively. To effectively use the harvested energy from the source, the relays employ the power splitting technique to scavenge energy from RF signals radiated by the source. We formulate this problem into a non-convex constrained optimization problem with the objective of maximizing system payoff, which is defined as the difference between system transmission benefit and system energy cost, and meanwhile minimizing system outage probability in both offline and online settings. In particular, we consider both direct transmission and relay transmission in this paper. Relay transmission is selected dynamically based on network channel conditions and available energy of EH nodes. Our simulation results reveal that considering direct transmission and selecting relay transmission and power splitting ratio dynamically can greatly improve system performance.
KW - Cooperative networks
KW - Energy harvesting
KW - Generalized outer approximation (GOA)
KW - Relay and power splitting ratio selection
KW - Simultaneous information and energy transfer
UR - https://www.scopus.com/pages/publications/84964644967
U2 - 10.1109/ICPADS.2015.15
DO - 10.1109/ICPADS.2015.15
M3 - Conference contribution
T3 - Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
SP - 52
EP - 59
BT - Proceedings - 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015
PB - IEEE Computer Society
T2 - 21st IEEE International Conference on Parallel and Distributed Systems, ICPADS 2015
Y2 - 14 December 2015 through 17 December 2015
ER -