TY - GEN
T1 - Energy-efficient full-duplex wireless information and power transfer
AU - Zewde, Tewodros A.
AU - Gursoy, M. Cenk
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - In this paper, we study optimal resource allocation strategies focusing on the system energy efficiency with simultaneous power transfer and information decoding operation at the access point (AP). We consider a three node wireless system that consists of the AP, energy harvesting user (EHU) and non-energy harvesting user (N-EHU), and EHU opportunistically harvests energy from N-EHU and the AP. Using this model, we propose introducing an energy-bearing signal in addition to the information-bearing signal at the N-EHU, and investigate their significance to improve the overall energy efficiency. We formulate an optimization problem that maximizes the system energy efficiency by taking the harvested energy constraint at the EHU into account. Based on this, we provide analytical expressions for the optimal transmit power level when the constraint is satisfied with strict inequality by the energy-efficiency-maximizing input. In such a case, system energy efficiency improves along with the energy demand, and using only information-bearing signal is optimal. On the other hand, when the constraint needs to be satisfied with equality, including an energy-bearing signal leads to better performance. However, explicit expressions to determine power allocation strategies are not immediately available, and hence we develop an algorithm using the subgradient method to solve the problem numerically. To justify these theoretical framework, we provide simulation results. In fact, we observe that having an energy-bearing signal together with the informationbearing signal improves the system energy efficiency and leads to higher levels of harvested energy. We also demonstrate the impact of peak power on the resource allocation policies.
AB - In this paper, we study optimal resource allocation strategies focusing on the system energy efficiency with simultaneous power transfer and information decoding operation at the access point (AP). We consider a three node wireless system that consists of the AP, energy harvesting user (EHU) and non-energy harvesting user (N-EHU), and EHU opportunistically harvests energy from N-EHU and the AP. Using this model, we propose introducing an energy-bearing signal in addition to the information-bearing signal at the N-EHU, and investigate their significance to improve the overall energy efficiency. We formulate an optimization problem that maximizes the system energy efficiency by taking the harvested energy constraint at the EHU into account. Based on this, we provide analytical expressions for the optimal transmit power level when the constraint is satisfied with strict inequality by the energy-efficiency-maximizing input. In such a case, system energy efficiency improves along with the energy demand, and using only information-bearing signal is optimal. On the other hand, when the constraint needs to be satisfied with equality, including an energy-bearing signal leads to better performance. However, explicit expressions to determine power allocation strategies are not immediately available, and hence we develop an algorithm using the subgradient method to solve the problem numerically. To justify these theoretical framework, we provide simulation results. In fact, we observe that having an energy-bearing signal together with the informationbearing signal improves the system energy efficiency and leads to higher levels of harvested energy. We also demonstrate the impact of peak power on the resource allocation policies.
KW - Energy efficiency
KW - Energy harvesting
KW - Full-duplex operation
KW - Throughput
KW - Wireless information and power transfer
UR - http://www.scopus.com/inward/record.url?scp=85016972640&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016972640&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2016.7880993
DO - 10.1109/VTCFall.2016.7880993
M3 - Conference contribution
AN - SCOPUS:85016972640
T3 - IEEE Vehicular Technology Conference
BT - 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 84th IEEE Vehicular Technology Conference, VTC Fall 2016
Y2 - 18 September 2016 through 21 September 2016
ER -