Resource Allocation Techniques for Wireless Powered Communication Networks With Energy Storage Constraint
File(s)
Accepted version
OA Location
Author(s)
Lee, H
Lee, K-J
Kim, H
Clerckx, B
Lee, I
Type
Journal Article
Abstract
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.
Date Issued
2016-04-07
Date Acceptance
2015-12-02
Citation
IEEE Transactions on Wireless Communications, 2016, 15 (4), pp.2619-2628
ISSN
1558-2248
Publisher
IEEE
Start Page
2619
End Page
2628
Journal / Book Title
IEEE Transactions on Wireless Communications
Volume
15
Issue
4
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Wireless powered communication networks (WPCN)
wireless energy transfer (WET)
convex optimization
MIMO INTERFERENCE CHANNEL
INFORMATION
SYSTEMS
DESIGNS
Publication Status
Published