Resource Allocation for Mixed Numerology NOMA

TL;DR

This paper proposes a two-stage resource allocation method for mixed numerology NOMA in 6G networks, enhancing spectral efficiency and fairness by optimizing subcarrier and power distribution considering diverse QoS needs.

Contribution

It introduces a novel two-stage sub-optimal resource allocation approach specifically designed for mixed numerology NOMA systems, addressing interference and performance challenges.

Findings

Proposed method outperforms benchmark schemes in spectral efficiency.

The approach improves fairness among users with different numerologies.

Numerical results validate the effectiveness of the proposed resource allocation.

Abstract

6G wireless networks will require the flexibility to accommodate an extremely diverse set of service types. This necessitates the use of mixed numerologies to accommodate different quality of service (QoS) requirements. Non-orthogonal multiple access (NOMA) techniques can potentially be used to accommodate users with different numerologies while also gaining the performance benefits associated with NOMA. To achieve the full performance benefits of a mixed numerology NOMA (MN-NOMA) system, resource allocation among the users is paramount. However, the coexistence of mixed numerologies changes the nature of the interference that each user experiences. This means that techniques used in single-numerology NOMA (SN-NOMA) are no longer sufficient. In light of this, we approach the problem of optimizing subcarrier and power allocation for maximizing the spectral efficiency of MN-NOMA while considering a minimum rate constraint for each user. In this letter, we propose a two-stage sub-optimal approach to solve the problem. We present numerical results which show the superiority of our proposed method over existing benchmark schemes in both spectral efficiency and fairness.