TY - GEN
T1 - Resource Allocation for NOMA-based LPWA Networks Powered by Energy Harvesting
AU - Benkhelifa, Fatma
AU - McCann, Julie
N1 - © 2021 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 - 2021/5/5
Y1 - 2021/5/5
N2 - In this paper, we consider the uplink transmissions of non-orthogonal multiple access (NOMA)-based low-power wide-area (LPWA) networks consisting of multiple self-powered nodes and a NOMA-based single gateway. The self-powered LPWA nodes use the”harvest-then-transmit” protocol where they harvest energy from ambient sources (solar and radio frequency signals), then transmit their signals. The main features of the studied LPWA network are different transmission times-on-air, multiple uplink transmission attempts, and duty cycle restrictions. The aim of this work is to maximize the time-averaged sum of the uplink transmission rates by optimizing the transmission time-on-air allocation, the energy harvesting time allocation and the power allocation; subject to a maximum transmit power and to the availability of the harvested energy. We propose a low complex solution which decouples the optimization problem into three sub-problems: we assign the transmission times either fairly or unfairly between LPWA nodes, we optimize the EH times using a one-dimensional search method, and optimize the transmit powers using concave-convex procedure (CCCP) procedure. In the simulation results, we focus on Long Range (LoRa) networks as a practical example LPWA network. We validate our proposed solution and we observe a 15% performance improvement when using NOMA.
AB - In this paper, we consider the uplink transmissions of non-orthogonal multiple access (NOMA)-based low-power wide-area (LPWA) networks consisting of multiple self-powered nodes and a NOMA-based single gateway. The self-powered LPWA nodes use the”harvest-then-transmit” protocol where they harvest energy from ambient sources (solar and radio frequency signals), then transmit their signals. The main features of the studied LPWA network are different transmission times-on-air, multiple uplink transmission attempts, and duty cycle restrictions. The aim of this work is to maximize the time-averaged sum of the uplink transmission rates by optimizing the transmission time-on-air allocation, the energy harvesting time allocation and the power allocation; subject to a maximum transmit power and to the availability of the harvested energy. We propose a low complex solution which decouples the optimization problem into three sub-problems: we assign the transmission times either fairly or unfairly between LPWA nodes, we optimize the EH times using a one-dimensional search method, and optimize the transmit powers using concave-convex procedure (CCCP) procedure. In the simulation results, we focus on Long Range (LoRa) networks as a practical example LPWA network. We validate our proposed solution and we observe a 15% performance improvement when using NOMA.
KW - Duty cycle
KW - Energy harvesting
KW - LPWANs
KW - Non-orthogonal multiple access
KW - Time-averaged sum-rate maximization
UR - http://www.scopus.com/inward/record.url?scp=85119361539&partnerID=8YFLogxK
U2 - 10.1109/WCNC49053.2021.9417507
DO - 10.1109/WCNC49053.2021.9417507
M3 - Conference proceeding
SN - 9781728195063
T3 - IEEE Wireless Communications and Networking Conference
BT - 2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
PB - IEEE
T2 - 2021 IEEE Wireless Communications and Networking Conference
Y2 - 29 March 2022 through 1 April 2022
ER -