Large Intelligent Surface Assisted Non-Orthogonal Multiple Access: Performance Analysis

Abstract

Large intelligent surface (LIS) has recently emerged as a potential enabling technology for 6G networks, offering extended coverage and enhanced energy and spectral efficiency. In this work, motivated by its promising potentials, we investigate the error rate performance of LIS-assisted non-orthogonal multiple access (NOMA) networks. Specifically, we consider a downlink NOMA system, in which data transmission between a base station (BS) and $L$ NOMA users is assisted by an LIS comprising $M$ reflective elements. First, we derive the probability density function of the end-to-end wireless fading channels between the BS and NOMA users. Then, by leveraging the obtained results, we derive an approximate expression for the pairwise error probability (PEP) of NOMA users under the assumption of imperfect successive interference cancellation. Furthermore, accurate expressions for the PEP for $M=1$ and large $M$ values ($M>10$) are presented in closed-form. To gain further insights into the system performance, an asymptotic expression for the PEP in high signal-to-noise ratio regime, the achievable diversity order, and a tight union bound on the bit error rate are provided. Finally, numerical and simulation results are presented to validate the derived mathematical results.

References in corpus (5)

• Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
• Sum Rate Maximization for IRS-assisted Uplink NOMA
• Power Efficient IRS-Assisted NOMA
• MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation Based Design
• Intelligent Reflecting Surface Enhanced Millimeter-Wave NOMA Systems