Resource allocation in wireless powered IoT networks
File(s)
OA Location
Author(s)
Liu, X
Qin, Z
Gao, Y
McCann, JA
Type
Journal Article
Abstract
In this paper, the efficient resource allocation for the uplink transmission of wireless powered Internet of Things (IoT) networks is investigated. We adopt LoRa technology as an example in the IoT network, but this paper is still suitable for other communication technologies. Allocating limited resources, like spectrum and energy resources, among a massive number of users faces critical challenges. We consider grouping wireless powered IoT users into available channels first and then investigate power allocation for users grouped in the same channel to improve the network throughput. Specifically, the user grouping problem is formulated as a many to one matching game. It is achieved by considering IoT users and channels as selfish players which belong to two disjoint sets. Both selfish players focus on maximizing their own utilities. Then we propose an efficient channel allocation algorithm (ECAA) with low complexity for user grouping. Additionally, a Markov decision process is used to model unpredictable energy arrival and channel conditions uncertainty at each user, and a power allocation algorithm is proposed to maximize the accumulative network throughput over a finite-horizon of time slots. By doing so, we can distribute the channel access and dynamic power allocation local to IoT users. Numerical results demonstrate that our proposed ECAA algorithm achieves near-optimal performance and is superior to random channel assignment, but has much lower computational complexity. Moreover, simulations show that the distributed power allocation policy for each user is obtained with better performance than a centralized offline scheme.
Date Issued
2019-06-01
Date Acceptance
2019-01-01
Citation
IEEE Internet of Things Journal, 2019, 6 (3), pp.4935-4945
ISSN
2327-4662
Publisher
Institute of Electrical and Electronics Engineers
Start Page
4935
End Page
4945
Journal / Book Title
IEEE Internet of Things Journal
Volume
6
Issue
3
Copyright Statement
© 2019 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
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Channel allocation
energy harvesting (EH)
Markov decision process (MDP)
ENERGY
COMMUNICATION
TRANSMISSION
LIMITS
LORA
Publication Status
Published
Date Publish Online
2019-01-25