Relay Satellite Assisted LEO Constellation NOMA Communication System

TL;DR

This paper introduces a relay satellite assisted LEO constellation NOMA communication system with joint optimization algorithms, demonstrating improved user satisfaction and performance over traditional schemes through numerical analysis.

Contribution

It proposes a novel R-NOMA-BF system with effective algorithms for resource allocation, addressing non-convexity and feasibility, and compares its performance with existing methods.

Findings

R-NOMA-BF outperforms OMA-BF and polarization multiplexing schemes.

Increasing antennas and satellite power enhances user satisfaction.

A-mNOMA-BF surpasses D-mNOMA-BF under imperfect SIC conditions.

Abstract

This paper proposes a relay satellite assisted low earth orbit (LEO) constellation non-orthogonal multiple access combined beamforming (R-NOMA-BF) communication system, where multiple antenna LEO satellites deliver information to ground non-orthogonal users. To measure the service quality, we formulate a resource allocation problem to minimize the second-order difference between the achievable capacity and user request traffic. Based on the above problem, joint optimization for LEO satellite-cell assignment factor, NOMA power and BF vector is taken into account. The optimization variables are analyzed with respect to feasibility and non-convexity. Additionally, we provide a pair of effective algorithms, i.e., doppler shift LEO satellite-cell assisted monotonic programming of NOMA with BF vector (D-mNOMA-BF) and ant colony pathfinding based NOMA exponential cone programming with BF vector (A-eNOMA-BF). Two compromise algorithms regarding the above are also presented. Numerical results show that: 1) D-mNOMA-BF and A-eNOMA-BF algorithms are superior to that of orthogonal multiple access based BF (OMA-BF) and polarization multiplexing schemes; 2) With the increasing number of antennas and single satellite power, R-NOMA-BF system is able to expand users satisfaction; and 3) By comparing various imperfect successive interference cancellation, the performance of A-mNOMA-BF algorithm exceeds D-mNOMA-BF.