Statistical Analysis of Connectivity Enhancement for Cell-Edge Users in MIMO-Enabled Wireless Cellular Networks Using Cooperative Non-Orthogonal Multiple Access (CNOMA) with Power Allocation

Document Type : Research Paper

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Department of Electrical Engineering, Esfarayen University of Technology, Esfarayen, North Khorasan, Iran

10.22070/jce.2026.19475.1273

Abstract

This paper investigates the integration of Cooperative Non-Orthogonal Multiple Access (CNOMA) with Multiple-Input Multiple-Output (MIMO) technology to enhance connectivity for cell-edge users in wireless cellular networks. In the proposed framework, intra-cell users act as relays to forward data to cell-edge users, improving signal reception through selection and spatial diversity provided by MIMO antennas. Connectivity analysis is essential to evaluate Quality of Service (QoS) and overall network performance, but it is complicated by channel fading, MIMO channel correlation, and the influence of successive interference cancellation (SIC) in relay users. To address these challenges, we develop a closed-form expression for the connectivity probability of cell-edge users in CNOMA-based MIMO networks. The model assumes Rayleigh fading channels, exponential channel gain distributions, and distinct power allocation for each sub-channel. By analytically modeling the Signal-to-Interference-plus-Noise Ratio (SINR) and applying a Gamma approximation, we derive a closed-form solution under imperfect SIC conditions, incorporating the probability of SIC success in relay users. Simulation results validate the analytical findings and provide insights into performance enhancement, offering a practical framework for designing robust CNOMA-MIMO systems for improved cell-edge connectivity.

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