Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1911
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hayat O. | en_US |
dc.contributor.author | Ngah R. | en_US |
dc.contributor.author | Hashim, S.Z.M. | en_US |
dc.date.accessioned | 2021-12-13T06:18:02Z | - |
dc.date.available | 2021-12-13T06:18:02Z | - |
dc.date.issued | 2021-02 | - |
dc.identifier.issn | 10184864 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/1911 | - |
dc.description | Web of Science / Scopus | en_US |
dc.description.abstract | In a wireless self-organizing and the network-assisted Device-to-Device (D2D) network, proximal Device Discovery (DD) plays a noteworthy role. It is the foundation for self-governing, coverage expansion and performance improvement for example, cooperative and multi-hop transmission. Energy efficiency and discovery accuracy are critical performance measures for proximal DD. A novel DD procedure using Non-orthogonal Multiple Access based Multi-user Shared Access (MUSA) is proposed in this article for network-assisted D2D communication. The proposed shared access scheme uses a complex spreading pattern to accommodate dense device discovery and enhance discovery distance in the cellular systems. A discovery signal shared access method with supplementary schemes for multi-user detection is also designed. With MUSA and its spreading pattern demodulation, 12% enhanced energy efficiency, and 98% overall improved accuracy is achieved contrasted with the customary DD methods. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Telecommunication Systems | en_US |
dc.subject | D2D communication | en_US |
dc.subject | Device discovery (DD) | en_US |
dc.subject | Discovery latency | en_US |
dc.subject | Energy efficiency | en_US |
dc.subject | MUSA | en_US |
dc.subject | NOMA | en_US |
dc.title | Multi-user Shared Access (MUSA) procedure for device discovery in D2D communication | en_US |
dc.type | National | en_US |
dc.identifier.doi | 10.1007/s11235-020-00716-3 | - |
dc.description.page | 291 - 297 | en_US |
dc.volume | 76 (2) | en_US |
dc.description.type | Article | en_US |
dc.description.impactfactor | 2.314 | en_US |
dc.description.quartile | Q3 | en_US |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairetype | National | - |
crisitem.author.dept | University Malaysia Kelantan | - |
crisitem.author.orcid | https://orcid.org/0000-0001-5122-7166 | - |
Appears in Collections: | Faculty of Data Science and Computing - Journal (Scopus/WOS) |
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