Asymptotic regime analysis of NOMA uplink networks under QoS delay Constraints

TL;DR

This paper analyzes the performance of uplink NOMA networks under QoS delay constraints, deriving closed-form effective capacity expressions and comparing NOMA with OMA under various SNR regimes, including user pairing strategies.

Contribution

It introduces novel closed-form effective capacity expressions for uplink NOMA under delay constraints and evaluates their performance against OMA with user pairing strategies.

Findings

Strong NOMA user has limited effective capacity at high SNR.

NOMA outperforms OMA for the weak user at high SNR.

User pairing enhances total link-layer effective capacity in multi-user NOMA.

Abstract

In the fifth generation and beyond (B5G) technologies, delay constrains emerge as a topic of particular interest for ultra reliable low latency communications (e.g., enhanced reality, haptic communications). In this report, we study the performance of a two user uplink non orthogonal multiple access (NOMA) network under quality of service (QoS) delay constraints, captured through each user delay exponents in their effective capacity (EC). We propose novel closed form expressions for the EC of the NOMA users and validate them through Monte Carlo simulations. Interestingly, our study shows that in the high signal to noise ratio (SNR) region, the strong NOMA user has a limited EC no matter how large the transmit SNR is, under the same delay constraint as the weak user. We show that for the weak user OMA achieves higher EC than NOMA at small values of the transmit SNR and that NOMA become more beneficial at high values of the transmit SNR. For the strong user, we show that NOMA achieves a higher EC than OMA at small values of the transmit SNR and that at high values of the transmit SNR OMA becomes more beneficial. By introducing user pairing when more than two NOMA users are present, we show that NOMA with user pairing outperforms OMA in term of the total link layer EC. Finally, we find the set of pairs which gives the highest total link-layer in the uplink for NOMA with multiple user-pairs.