TY - JOUR
T1 - Toward Optimal Power Control and Transfer for Energy Harvesting Amplify-and-Forward Relay Networks
AU - Singh, Keshav
AU - Ku, Meng Lin
AU - Lin, Jia Chin
AU - Ratnarajah, Tharmalingam
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - In this paper, we study an amplify-and-forward relay network with energy harvesting (EH) source and relay nodes. Both nodes can continuously harvest energy from the environment and store it in batteries with finite capacity. Additionally, the source node is capable of transferring a portion of its energy to the relay node through a dedicated channel. The network performance depends on not only the energy arrival profiles at EH nodes but also the energy cooperation between them. We jointly design power control and transfer for maximizing the sum rate over finite time duration, subject to energy causality and battery storage constraints. By introducing auxiliary variables to confine the accumulated power expenditure, this non-convex problem is solved via a successive convex approximation approach, and the local optimum solutions are obtained through dual decomposition. Also, when channels are quasi-static and the power control values of the source (relay) node are preset to a constant, a monotonically increasing power control structure with the time is revealed for the relay (source) node with infinite battery capacity. Computer simulations are used to validate the theoretical findings and to quantify the impact of various factors, such as EH intensity at nodes and relay position on the sum rate performance.
AB - In this paper, we study an amplify-and-forward relay network with energy harvesting (EH) source and relay nodes. Both nodes can continuously harvest energy from the environment and store it in batteries with finite capacity. Additionally, the source node is capable of transferring a portion of its energy to the relay node through a dedicated channel. The network performance depends on not only the energy arrival profiles at EH nodes but also the energy cooperation between them. We jointly design power control and transfer for maximizing the sum rate over finite time duration, subject to energy causality and battery storage constraints. By introducing auxiliary variables to confine the accumulated power expenditure, this non-convex problem is solved via a successive convex approximation approach, and the local optimum solutions are obtained through dual decomposition. Also, when channels are quasi-static and the power control values of the source (relay) node are preset to a constant, a monotonically increasing power control structure with the time is revealed for the relay (source) node with infinite battery capacity. Computer simulations are used to validate the theoretical findings and to quantify the impact of various factors, such as EH intensity at nodes and relay position on the sum rate performance.
KW - Energy harvesting
KW - amplify-and-forward
KW - convex optimization
KW - cooperative communications
KW - power control
KW - wireless power transfer
UR - http://www.scopus.com/inward/record.url?scp=85047020025&partnerID=8YFLogxK
U2 - 10.1109/TWC.2018.2834528
DO - 10.1109/TWC.2018.2834528
M3 - 期刊論文
AN - SCOPUS:85047020025
SN - 1536-1276
VL - 17
SP - 4971
EP - 4986
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 8
M1 - 8360073
ER -