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

Zaman, Naeem Uz and Hassan, Ahmad Kamal and Abbas, Ziaul Haq and Abbas, Ghulam and Bilal, Muhammad and Pack, Sangheon (2023) Performance analysis of NOMA enabled multi-user co-operative IoT network with SWIPT protocol. Journal of King Saud University - Computer and Information Sciences, 35 (8). ISSN 1319-1578

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Abstract

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%.

Item Type:
Journal Article
Journal or Publication Title:
Journal of King Saud University - Computer and Information Sciences
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700
Subjects:
?? BEAMFORMERSENERGY HARVESTINGMU-MISO-NOMASWIPTUSER SELECTIONCOMPUTER SCIENCE(ALL) ??
ID Code:
205152
Deposited By:
Deposited On:
25 Sep 2023 11:10
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Sep 2023 03:01