2 research outputs found
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers
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
conventional diversity combining schemes, namely selection combining (SC) and
maximal-ratio combining (MRC). We also derive two approximate expressions for
the EC of NOMA-GSC which are accurate at low-SNR and at high-SNR, respectively.
The analysis reveals a tradeoff between the number of implemented receiver
radio-frequency (RF) chains and the achieved performance, and can be used to
determine the appropriate number of paths to combine in a practical receiver
design.Comment: 8 pages, 5 figure
Delay Violation Probability and Effective Rate of Downlink NOMA over - Fading Channels
Non-orthogonal multiple access (NOMA) is a potential candidate to further
enhance the spectrum utilization efficiency in beyond fifth-generation (B5G)
standards. However, there has been little attention on the quantification of
the delay-limited performance of downlink NOMA systems. In this paper, we
analyze the performance of a two-user downlink NOMA system over generalized
{\alpha}-{\mu} fading in terms of delay violation probability (DVP) and
effective rate (ER). In particular, we derive an analytical expression for an
upper bound on the DVP and we derive the exact sum ER of the downlink NOMA
system. We also derive analytical expressions for high and low signal-to-noise
ratio (SNR) approximations to the sum ER, as well as a fundamental upper bound
on the sum ER which represents the ergodic sum-rate for the downlink NOMA
system. We also analyze the sum ER of a corresponding time-division-multiplexed
orthogonal multiple access (OMA) system. Our results show that while NOMA
consistently outperforms OMA over the practical SNR range, the relative gain
becomes smaller in more severe fading conditions, and is also smaller in the
presence a more strict delay quality-of-service (QoS) constraint.Comment: 14 pages, 12 figure