Performance Analysis of NOMA Uplink Networks under Statistical QoS Delay Constraints
| Autor: | Wenjuan Yu, Leila Musavian, Arsenia Chorti, Mouktar Bello |
|---|---|
| Přispěvatelé: | Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Institute for Communication Systems [University of Surrey], University of Surrey (UNIS), School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK, Bello, Mouktar |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Computer science Computer Science - Information Theory QoS 050801 communication & media studies Noma 0508 media and communications effective capacity 0502 economics and business Telecommunications link medicine Index Terms-NOMA Latency (engineering) business.industry Information Theory (cs.IT) Quality of service 05 social sciences medicine.disease Transmitter power output B5G Constraint (information theory) low latency [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT] 050211 marketing [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT] business Computer network |
| Zdroj: | IEEE International Conference on Communications IEEE International Conference on Communications, Jun 2020, Dublin, Ireland ICC |
| Popis: | In the fifth generation and beyond (B5G), delayconstraints emerge as a topic of particular interest, e.g. forultra-reliable low latency communications (URLLC) such asautonomous vehicles and enhanced reality. In this paper, westudythe performance of a two-user uplink NOMA network understatistical quality of service (QoS) delay constraints, capturedthrough each user s effective capacity (EC). We propose novelclosed-form expressions for the EC of the NOMA users andshow that in the high signal to noise ratio (SNR) region, the 'strong' NOMA user has a limited EC, assuming the same delayconstraint as the 'weak' user. We demonstrate that for the weakuser, OMA achieves higher EC than NOMA at small values ofthe transmit SNR, while NOMA outperforms OMA in terms ofEC at high SNRs. On the other hand, for the strong user theopposite is true, i.e., NOMA achieves higher EC than OMA atsmall SNRs, while OMA becomes more beneficial at high SNRs.This result raises the question of introducing 'adaptive' OMA /NOMA policies, based jointly on the users delay constraints aswell as on the available transmit power. arXiv admin note: substantial text overlap with arXiv:2001.11423 |
| Databáze: | OpenAIRE |
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