TY - GEN
T1 - Energy efficiency analysis for wireless-powered cellular networks
AU - Zewde, Tewodros A.
AU - Gursoy, M. Cenk
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/10
Y1 - 2017/5/10
N2 - In this paper, we study the performance of wireless networks with randomly located access points (APs) and randomly located energy-harvesting user equipments (UE) focusing on network throughput and system energy efficiency. We consider harvest-and-transmit protocol for wireless-powered UEs that do not have embedded power sources, but harvest energy from densely deployed APs. We first characterize outage probabilities and achievable data rates as a function of the system parameters, i.e., uplink and downlink operating intervals, using tools from stochastic geometry. Then, we formulate an optimization problem that maximize the system energy efficiency (measured by throughput per total consumed energy) while taking the feasible operation interval constraint into account. Despite the difficulty in obtaining closed-form expressions for the optimal solution, the problem can be solved using standard numerical tools. Simulation results demonstrate that broadcasting energy-bearing signal at higher power level improves energy efficiency. Furthermore, circuit power consumption is shown to be a key factor affecting the performance gain as well as optimal downlink/uplink time allocation strategy.
AB - In this paper, we study the performance of wireless networks with randomly located access points (APs) and randomly located energy-harvesting user equipments (UE) focusing on network throughput and system energy efficiency. We consider harvest-and-transmit protocol for wireless-powered UEs that do not have embedded power sources, but harvest energy from densely deployed APs. We first characterize outage probabilities and achievable data rates as a function of the system parameters, i.e., uplink and downlink operating intervals, using tools from stochastic geometry. Then, we formulate an optimization problem that maximize the system energy efficiency (measured by throughput per total consumed energy) while taking the feasible operation interval constraint into account. Despite the difficulty in obtaining closed-form expressions for the optimal solution, the problem can be solved using standard numerical tools. Simulation results demonstrate that broadcasting energy-bearing signal at higher power level improves energy efficiency. Furthermore, circuit power consumption is shown to be a key factor affecting the performance gain as well as optimal downlink/uplink time allocation strategy.
KW - Circuit consumption
KW - Energy efficiency
KW - Energy harvesting
KW - Random networks
KW - Wireless information and power transfer
UR - http://www.scopus.com/inward/record.url?scp=85020197426&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020197426&partnerID=8YFLogxK
U2 - 10.1109/CISS.2017.7926164
DO - 10.1109/CISS.2017.7926164
M3 - Conference contribution
AN - SCOPUS:85020197426
T3 - 2017 51st Annual Conference on Information Sciences and Systems, CISS 2017
BT - 2017 51st Annual Conference on Information Sciences and Systems, CISS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 51st Annual Conference on Information Sciences and Systems, CISS 2017
Y2 - 22 March 2017 through 24 March 2017
ER -