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Delay Violation Probability and Effective Rate of Downlink NOMA Over $\alpha$-$\mu$ Fading Channels
- Source :
- IEEE Transactions on Vehicular Technology. 69:11241-11252
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- 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.<br />Comment: 14 pages, 12 figures
- Subjects :
- Computer Networks and Communications
Computer Science - Information Theory
020208 electrical & electronic engineering
Aerospace Engineering
020206 networking & telecommunications
02 engineering and technology
medicine.disease
Topology
Upper and lower bounds
Expression (mathematics)
Noma
Signal-to-noise ratio
Automotive Engineering
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
medicine
Range (statistics)
Ergodic theory
Fading
Electrical Engineering and Systems Science - Signal Processing
Electrical and Electronic Engineering
Computer Science::Information Theory
Mathematics
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi.dedup.....cf23acb3d263974e3584c94b47cdb7b5
- Full Text :
- https://doi.org/10.1109/tvt.2020.3008646