Optimal radio resource allocation to achieve a low BER in PD‐NOMA–based heterogeneous cellular networks

Abstract

In this paper, the problem of downlink radio resource allocation for a power‐domain nonorthogonal multiple‐access–based heterogeneous cellular network is investigated. We propose two scenarios: (1) resource allocation with exclusive subcarrier allocation and (2) resource allocation considering intercell interference. The aim of this paper is to obtain joint subcarrier and power allocation for the two considered system models by addressing the maximization of the users' sum rate subject to the bit error rate constraint, the successive interference cancellation constraint, subcarrier constraints, and the transmit power restriction of each base station. To solve the corresponding optimization problems, an alternating method is applied by decoupling the proposed problems into two subproblems, namely, subcarrier allocation problem and power allocation problem, where they are solved by using the mesh adaptive direct search algorithm and different successive convex approximation methods, respectively. Moreover, to evaluate the optimality gap of the alternating method, the proposed problems are solved using an optimal method, namely, monotonic optimization with high complexity as a benchmark. As the results show, with the bit error rate constraint, the link‐level performance, at the cost of a decreasing system sum rate, is improved.

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

“…The authors proposed an optimal algorithm in order to jointly allocate subcarrier and power which aims to obtain energy efficient resource allocation. Furthermore, considering two scenarios of resource allocation based on subcarrier and intercell interference, the authors in [133] proposed an optimal algorithm to maximize the sum-rate of the entire system. The results demonstrate that the system link performance is enhanced under the proposed scheme when the system sum-rate is kept low.…”

Adaptive user clustering for downlink nonorthogonal multiple access based 5G systems using Brute‐force search

“…Power‐domain (PD) NOMA technique is considered in Reference 12 to maximize the profit of mobile network operator using the priority‐based task scheduling by jointly optimizing service rate, transmit power and subcarrier allocation with satisfying power and delay constraints. Resource allocation problem for PD‐NOMA based heterogeneous networks (HetNets) systems is investigated in Reference 13 with the aim of maximizing the sum rate, subject to the constraints of PD‐NOMA and the transmit power constraint of each BS. An adaptive NOMA scheme is proposed in Reference 14 for choosing the working modes based on the relay power of the system adaptively to maximize the sum rate and optimize the energy efficiency of the communication network.…”

Energy efficient resource allocation for uplink hybrid power domain sparse code nonorthogonal multiple access heterogeneous networks with statistical channel estimation

“…In Reference 14, various fair ordering methods have been investigated for tradeoff among the energy efficiency, fairness, harvested energy and system sum rate in PD‐NOMA based HetNets. Resource allocation in downlink HetNet NOMA for two scenarios namely, exclusive subcarrier allocation case and intercell interference case for sum‐rate maximization are investigated in Reference 15. The proposed scheme decouples the optimization problem into RU allocation and PA subproblems, which are solved by using the mesh adaptive direct search algorithm and different successive convex approximation methods, respectively.…”