User Pairing and Power Allocation for FTN-based SC-NOMA and MIMO-NOMA Systems Considering User Fairness

TL;DR

This paper introduces novel user pairing and power allocation algorithms for FTN-based SC-NOMA and MIMO-NOMA systems, enhancing spectrum efficiency and fairness in IoT communications.

Contribution

It presents the first joint user pairing and power allocation schemes specifically designed for FTN-based NOMA systems, improving sum rate and QoS.

Findings

FTN-based NOMA outperforms OMA in sum rate and QoS.

Proposed algorithms guarantee user fairness.

Enhanced spectrum efficiency in IoT scenarios.

Abstract

The development of the industrial Internet of Things (IoT) calls for higher spectrum efficiency (SE). Faster than Nyquist (FTN) and non-orthogonal multiple access (NOMA) are both promising paradigms to improve the SE without any extra spectrum resources required. The combination of FTN and NOMA is an interesting issue and has been focused on recently. In the NOMA technology, user pairing and power allocation are key algorithms determining system capacity. This paper first proposes a joint user pairing and power allocation algorithm for the FTN-based single-carrier (SC) NOMA system. Then, the FTN-based multiple-input-multiple-output (MIMO) NOMA is studied and a dynamic user pairing and power allocation scheme is presented. In both scenarios, the maximum available sum rate (ASR) is the target. While based on the fairness principle, the user's SE in the NOMA system is guaranteed to be no less than that in the OMA system. Simulation results show the advantage of the FTN-based NOMA with the proposed scheme in ASR and quality of service (QoS) performance. As far as we know, this paper is the first solution to the issue of user pairing and power allocation in FTN-based NOMA, which proves the great advantage of the combination of these two state-of-the-art technologies.