Performance analysis of NOMA enabled multi-user co-operative IoT network with SWIPT protocol

Autor: Naeem Uz Zaman, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Muhammad Bilal, Sangheon Pack
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101639- (2023)
Druh dokumentu: article
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2023.101639
Popis: This study investigates the performance of user equipments (UEs) and IoT devices in a multi-user (MU) multiple-input single-output (MISO) configuration based non-orthogonal multiple-access (NOMA) system. The proposed model includes a base station surrounded by many users and a number of dispersed IoT devices. In the considered MU IoT network scenario, power allocation coefficients are set to ensure that both the relaying UE and the targeted IoT device experience increased performance. To assist the intended IoT device with weak channel conditions, an optimal user selection method is developed that picks a UE with comparatively better reception, and thereby the selected UE acts as relay forward node utilizing the simultaneous wireless information and power transfer protocol. The characterization of a key performance metric, i.e., the outage probability is derived by adopting a two-step procedure. First, quadratic forms of signal to interference plus noise ratio (SINR) at the relaying UE and the signal-to-noise ratio (SNR) and SINR at the intended IoT device are constructed. Then, using the indefinite quadratic form approach, we arrive at closed-form expressions for the outage probability (OP) of intended IoT device under linearly dependent beamformers. To validate the analytical expressions provided in this study, simulations are performed. We demonstrate that by utilizing the proposed user selection technique in MU-MISO-NOMA system decreases the OP of the intended IoT device by 40% on average. Furthermore, utilizing multiple transmit antenna elements decreases the OP of the intended IoT device by approximately 10%.
Databáze: Directory of Open Access Journals