Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/2171
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ghani, H.A. | en_US |
dc.contributor.author | Roslim F. N. | en_US |
dc.contributor.author | Al-Shari E. M. M. | en_US |
dc.contributor.author | Remli, M.A. | en_US |
dc.contributor.author | Saleh N. I. M. | en_US |
dc.contributor.author | Yusoff, N. | en_US |
dc.contributor.author | Adli, H.K. | en_US |
dc.contributor.author | Wong K.N.S.W.S. | en_US |
dc.date.accessioned | 2022-01-03T07:12:20Z | - |
dc.date.available | 2022-01-03T07:12:20Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 23673370 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/2171 | - |
dc.description | Scopus | en_US |
dc.description.abstract | The increasing demand for wireless network connections requires efficient network resource allocation. The non-orthogonal multiple access (NOMA) technology offers users sharing the same radio bandwidth to increase the bandwidth efficiency. However, the increase in the number of users demanding for the radio bandwidth and network connections will increase the required computational load for grouping the users to share the radio resources. This paper studies a heuristic method for grouping the users based on the discrete particle swarm optimization. The throughput, the average square error and the fitness function values obtained by the proposed method and the existing schemes are measured and observed. It has been demonstrated that the proposed scheme based on discrete particle swarm optimization has produced the throughput close to the upper limit. The convergence of the proposed method is mainly less than 10 iterations at different numbers of resource blocks. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation | Discrete Particle Swarm Optimization for User Grouping in 5G NOMA systems | en_US |
dc.subject | Particle swarm | en_US |
dc.subject | Discrete | en_US |
dc.subject | User grouping | en_US |
dc.title | Discrete Particle Swarm Optimization for User Grouping in 5G NOMA Networks | en_US |
dc.type | International | en_US |
dc.relation.conference | Lecture Notes in Networks and Systems | en_US |
dc.identifier.doi | 10.1007/978-3-030-85990-9_21 | - |
dc.description.funding | UMK-Fund Grant (R/FUND/A0100/01860A/001/2020/0082) | en_US |
dc.description.page | 247 - 257 | en_US |
dc.volume | 322 | en_US |
dc.relation.seminar | International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2021 | en_US |
dc.date.seminarstartdate | 2021-06-25 | - |
dc.date.seminarenddate | 2021-06-26 | - |
dc.description.placeofseminar | Al Buraimi, Oman | en_US |
dc.description.seminarorganizer | The British University in Dubai | en_US |
dc.description.type | Indexed Proceedings | en_US |
dc.contributor.correspondingauthor | hadhrami.ag@umk.edu.my | en_US |
item.fulltext | With Fulltext | - |
item.openairetype | International | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
crisitem.author.dept | UNIVERSITI MALAYSIA KELANTAN | - |
crisitem.author.dept | Universiti Malaysia Kelantan | - |
crisitem.author.dept | Universiti Malaysia Kelantan | - |
crisitem.author.orcid | 0000-0003-2703-2531 | - |
Appears in Collections: | Faculty of Data Science and Computing - Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Discrete PSO - Farah.pdf | 314.5 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.