TY - JOUR
T1 - Resource Allocation Techniques for Wireless Powered Communication Networks With Energy Storage Constraint
AU - Lee, Hoon
AU - Lee, Kyoung Jae
AU - Kim, Hanjin
AU - Clerckx, Bruno
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea Government (MSIP) under Grant 2014R1A2A1A10049769. The work of K.-J. Lee was supported by the Basic Science Research Program through the NRF funded by the Ministry of Science, ICT & Future Planning under Grant NRF-2013R1A1A1060503. The associate editor coordinating the review of this paper and approving it for publication was H. Hassanein.
Publisher Copyright:
© 2015 IEEE.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - This paper studies multiuser wireless powered communication networks, where energy constrained users charge their energy storages by scavenging energy of the radio frequency signals radiated from a hybrid access point (H-AP). The energy is then utilized for the users' uplink information transmission to the H-AP in time division multiple access mode. In this system, we aim to maximize the uplink sum rate performance by jointly optimizing energy and time resource allocation for multiple users in both infinite capacity and finite capacity energy storage cases. First, when the users are equipped with the infinite capacity energy storages, we derive the optimal downlink energy transmission policy at the H-AP. Based on this result, analytical resource allocation solutions are obtained. Next, we propose the optimal energy and time allocation algorithm for the case where each user has finite capacity energy storage. Simulation results confirm that the proposed algorithms offer about 30% average sum rate performance gain over conventional schemes.
AB - This paper studies multiuser wireless powered communication networks, where energy constrained users charge their energy storages by scavenging energy of the radio frequency signals radiated from a hybrid access point (H-AP). The energy is then utilized for the users' uplink information transmission to the H-AP in time division multiple access mode. In this system, we aim to maximize the uplink sum rate performance by jointly optimizing energy and time resource allocation for multiple users in both infinite capacity and finite capacity energy storage cases. First, when the users are equipped with the infinite capacity energy storages, we derive the optimal downlink energy transmission policy at the H-AP. Based on this result, analytical resource allocation solutions are obtained. Next, we propose the optimal energy and time allocation algorithm for the case where each user has finite capacity energy storage. Simulation results confirm that the proposed algorithms offer about 30% average sum rate performance gain over conventional schemes.
KW - Wireless powered communication networks (WPCN)
KW - convex optimization
KW - wireless energy transfer (WET)
UR - http://www.scopus.com/inward/record.url?scp=84963894585&partnerID=8YFLogxK
U2 - 10.1109/TWC.2015.2506561
DO - 10.1109/TWC.2015.2506561
M3 - Article
AN - SCOPUS:84963894585
SN - 1536-1276
VL - 15
SP - 2619
EP - 2628
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 4
M1 - 7349240
ER -