TY - GEN
T1 - Resource Allocation for Non-Orthogonal Multiple Access (NOMA) Enabled LPWA Networks
AU - Li, Kaihan
AU - Benkhelifa, Fatma
AU - McCann, Julie
N1 - © 2020 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.
PY - 2020/2/27
Y1 - 2020/2/27
N2 - 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
AB - 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
KW - Channel allocation
KW - Interference cancellation
KW - Internet-of-Things (IoT)
KW - LoRa
KW - Low-power wide-area (LPWA) networks
KW - Power allocation
KW - Spreading factor (SF) allocation
KW - Throughput fairness
KW - Uplink NOMA
UR - http://www.scopus.com/inward/record.url?scp=85081949030&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM38437.2019.9013575
DO - 10.1109/GLOBECOM38437.2019.9013575
M3 - Conference proceeding
SN - 978-1-7281-0963-3
T3 - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
BT - IEEE Global Communications Conference (GLOBECOM)
PB - IEEE
T2 - 2019 IEEE Global Communications Conference (GLOBECOM)
Y2 - 9 December 2019 through 13 December 2019
ER -