Joint Resource Block-Power Allocation for NOMA-Enabled Fog Radio Access Networks

TL;DR

This paper proposes a joint resource block and power allocation algorithm for NOMA-enabled fog radio access networks, enhancing spectral efficiency by optimizing resource distribution in 5G systems.

Contribution

It introduces a novel iterative algorithm combining a matching game for RB allocation and a tractable power allocation method, addressing interference and non-convexity issues.

Findings

The proposed algorithm improves sum rate performance.

Simulation results validate the effectiveness of the joint allocation approach.

The method effectively manages interference in NOMA F-RANs.

Abstract

In order to achieve efficient communication in the fifth generation (5G) networks, non-orthogonal multiple access (NOMA) technique has been utilized in fog radio access networks (F-RANs). In this paper, we investigate the resource allocation problem in a NOMA-enabled downlink F-RAN. To maximize the weighted sum rate of NOMA users served by fog-computing-based access points (F-APs), the resource block (RB) allocation and power allocation are optimized. Specifically, we decouple the problem into RB allocation and power allocation problems. The former is modeled as a many-to-one matching game and we propose a modified swap-enabled matching algorithm to solve it, which takes interference threshold into consideration. The later is a non-convex problem, we transform it into a tractable one via some approximations and get the closed-form expressions of power allocation coefficients. Finally, we combine the both to propose a joint resource allocation algorithm, which is preformed iteratively to obtain the optimal result. Simulation results are provided to show the performance of the algorithm.