Resource allocation for non-orthogonal multiple access (NOMA) enabled LPWA networks
Author(s)
Li, Kaihan
Benkhelifa, Fatma
McCann, Julie
Type
Conference Paper
Abstract
In this paper, we investigate the resource allocation for uplink non-orthogonal multiple access (NOMA) enabled low-power wide-area (LPWA) networks to support the massive connectivity of users/nodes. Here, LPWA nodes communicate with a central gateway through resource blocks like channels, transmission times, bandwidths, etc. The nodes sharing the same resource blocks suffer from intra-cluster interference and possibly inter-cluster interference, which makes current LPWA networks unable to support the massive connectivity. Using the minimum transmission rate metric to highlight the interference reduction that results from the addition of NOMA, and while assuring user throughput fairness, we decompose the minimum rate maximization optimization problem into three sub- problems. First, a low-complexity sub-optimal nodes clustering scheme is proposed assigning nodes to channels based on their normalized channel gains. Then, two types of transmission time allocation algorithms are proposed that either assure fair or unfair transmission time allocation between LPWA nodes sharing the same channel. For a given channel and transmission time allocation, we further propose an optimal power allocation scheme. Simulation evaluations demonstrate approximately 100dB improvement of the selected metric for a single network with 4000 active nodes.
Date Issued
2020-02-27
Date Acceptance
2019-07-18
Citation
2019 IEEE Global Communications Conference (GLOBECOM), 2020, pp.1-6
Publisher
IEEE
Start Page
1
End Page
6
Journal / Book Title
2019 IEEE Global Communications Conference (GLOBECOM)
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.
Source
IEEE GLOBECOM 2019
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Internet-of-Things (IoT)
low-power wide-are (LPWA) networks
uplink NOMA
LoRa
interference cancellation
throughput fairness
channel allocation
spreading factor (SF) allocation
power allocation
eess.SP
eess.SP
cs.IT
math.IT
Publication Status
Published
Start Date
2019-12-09
Finish Date
2019-12-13
Coverage Spatial
Hawaii, USA
Date Publish Online
2020-02-27