Back to Search
Start Over
Cognitive IoT relaying NOMA networks with user clustering and imperfect SIC
- Source :
- Peer-to-Peer Networking and Applications. 14:3170-3180
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- To implement machine type communications (MTCs) in next generation mobile networks, Narrowband-Internet of Things (NB-IoT) need be studied. Such NB-IoT has been released by the third generation partnership project (3GPP) as a promising method to exhibit extended coverage and low energy consumption, especially for cheap MTC devices. However, the existing NB-IoT using orthogonal multiple access (OMA) scheme which cannot provide connectivity for a massive MTC devices. In this paper, we consider NB-IoT using non-orthogonal multiple access (NOMA). We find that power allocation factors for devices in clustering users as main enabler to exhibit differences in term of performance of devices. The worse situation of imperfect successive interference cancellation (SIC) is further studied due to main reason regarding degraded system performance. We derive closed-form expressions of outage probability for devices in a cluster to highlight main parameters affecting quality of devices. We verify our mathematical analysis via Monte-Carlo simulations.
- Subjects :
- Scheme (programming language)
Computer Networks and Communications
business.industry
Computer science
3rd Generation Partnership Project 2
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
medicine.disease
Term (time)
Noma
Extended coverage
0203 mechanical engineering
Single antenna interference cancellation
0202 electrical engineering, electronic engineering, information engineering
medicine
business
Cluster analysis
computer
Software
Computer network
computer.programming_language
Next Generation Mobile Networks
Subjects
Details
- ISSN :
- 19366450 and 19366442
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Peer-to-Peer Networking and Applications
- Accession number :
- edsair.doi...........b1bcb799edad884bb92bb1a0924f8e6e