Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, and Mark F. Flanagan

TL;DR
This paper evaluates the link-layer capacity of downlink NOMA systems with generalized selection combining, considering delay constraints, and provides approximate formulas for effective capacity at different SNR regimes.
Contribution
It introduces an analysis of effective capacity for downlink NOMA with GSC, bridging the gap between traditional diversity schemes and considering practical delay constraints.
Findings
GSC improves link-layer performance over traditional schemes.
Approximate EC expressions are accurate at low and high SNR.
Tradeoff identified between RF chains and system performance.
Abstract
Non-orthogonal multiple access (NOMA) has drawn tremendous attention, being a potential candidate for the spectrum access technology for the fifth-generation (5G) and beyond 5G (B5G) wireless communications standards. Most research related to NOMA focuses on the system performance from Shannon's capacity perspective, which, although a critical system design criterion, fails to quantify the effect of delay constraints imposed by future wireless applications. In this paper, we analyze the performance of a single-input multiple-output (SIMO) two-user downlink NOMA system, in terms of the link-layer achievable rate, known as effective capacity (EC), which captures the performance of the system under a delay-limited quality-of-service (QoS) constraint. For signal combining at the receiver side, we use generalized selection combining (GSC), which bridges the performance gap between the two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
