Energy Efficiency Optimization for NOMA UAV Network with Imperfect CSI

TL;DR

This paper develops a resource allocation scheme to optimize energy efficiency in NOMA UAV networks considering imperfect CSI, using convex approximation methods for non-convex optimization problems.

Contribution

It introduces a novel suboptimal resource allocation method that handles imperfect CSI and non-convex optimization in UAV-based NOMA networks.

Findings

The proposed algorithm improves energy efficiency compared to existing schemes.

Convex approximation effectively solves the non-convex optimization problem.

Simulation results validate the effectiveness of the resource allocation approach.

Abstract

Unmanned aerial vehicles (UAVs) are developing rapidly owing to flexible deployment and access services as air base stations. However, the channel errors of low-altitude communication links formed by mobile deployment of UAVs cannot be ignored. And the energy efficiency of the UAVs communication with imperfect channel state information (CSI) hasnt been well studied yet. Therefore, we focus on system performance optimization in non-orthogonal multiple access (NOMA) UAV network considering imperfect CSI between the UAV and users. A suboptimal resource allocation scheme including user scheduling and power allocation is designed for maximizing energy efficiency. Because of the nonconvexity of optimization function with an probability constraint for imperfect CSI, the original problem is converted into a non-probability problem and then decoupled into two convex subproblems. First, a user scheduling method is applied in the two-side matching of users and subchannels by the difference of convex programming. Then based on user scheduling, the energy efficiency in UAV cells is optimized through a suboptimal power allocation algorithm by successive convex approximation method. The simulation results prove that the proposed algorithm is effective compared with existing resource allocation schemes.