Resource Allocation for D2D Communications Underlaying a NOMA-Based Cellular Network

TL;DR

This paper addresses power control and channel assignment in D2D communications under NOMA cellular networks, proposing an optimal and iterative resource allocation algorithm that outperforms traditional orthogonal schemes.

Contribution

It introduces a novel dual-based iterative algorithm for resource allocation in NOMA-based D2D communications, considering interference and decoding constraints.

Findings

Proposed algorithm improves sum rate of D2D pairs.

Outperforms existing orthogonal multiple access schemes.

Ensures minimum rate requirements for cellular users.

Abstract

This letter investigates the power control and channel assignment problem in device-to-device (D2D) communications underlaying a non-orthogonal multiple access (NOMA) cellular network. With the successive interference cancellation decoding order constraints, our target is to maximize the sum rate of D2D pairs while guaranteeing the minimum rate requirements of NOMA-based cellular users. Specifically, the optimal conditions for power control of cellular users on each subchannel are derived first. Then, based on these results, we propose a dual-based iterative algorithm to solve the resource allocation problem. Simulation results validate the superiority of proposed resource allocation algorithm over the existing orthogonal multiple access scheme.