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Wireless backhaul: Performance Modelling and Impact on User Association for 5G.
dc.contributor.author | Jaber, Mona | |
dc.contributor.author | López-Martínez, Francisco Javier | |
dc.contributor.author | Imran, Muhammad Ali | |
dc.contributor.author | Sutton, Andy | |
dc.contributor.author | Tukmanov, Anvar | |
dc.contributor.author | Tafazolli, Rahim | |
dc.date.accessioned | 2024-01-26T11:06:41Z | |
dc.date.available | 2024-01-26T11:06:41Z | |
dc.date.issued | 2018-02-22 | |
dc.identifier.citation | M. Jaber, F. J. Lopez-Martinez, M. A. Imran, A. Sutton, A. Tukmanov and R. Tafazolli, "Wireless Backhaul: Performance Modeling and Impact on User Association for 5G," in IEEE Transactions on Wireless Communications, vol. 17, no. 5, pp. 3095-3110, May 2018, doi: 10.1109/TWC.2018.2806456 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10630/29289 | |
dc.description | Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/3585 | es_ES |
dc.description.abstract | Wireless technology is the strongest contender for catering for the 5G backhaul (BH) stipulated performance, where optical fiber is unavailable. In the presence of ultra-dense networks, such occurrences are exponentially increasing, and different wireless technologies are investigated for this application. We present the first BH-specific wireless link performance modeling that considers its inherent line-of-sight nature, together with an appropriate representation of the network topology using stochastic geometry. To this end, novel tractable models are obtained to capture the performance of wireless BH links. These are integrated into a multi-hop hybrid BH performance modeling framework and are applied in the analysis of a BH-aware user association optimisation problem. | es_ES |
dc.description.sponsorship | 10.13039/501100000266-U.K. Engineering and Physical Science Research Council BT Research and Innovation through an Industrial Cooperative Awards in the Science and Technology Studentship 10.13039/501100000266-EPSRC Global Challenges Research, DARE project (Grant Number: EP/P028764/1) Spanish Government-FEDER (Grant Number: TEC2017-87913-R) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Sistemas de comunicaciones inalámbricos | es_ES |
dc.subject | Sistemas de comunicaciones móviles | es_ES |
dc.subject.other | Wireless communications | es_ES |
dc.subject.other | Rician channels | es_ES |
dc.subject.other | 5G mobile communication | es_ES |
dc.subject.other | Throughput | es_ES |
dc.subject.other | Interference | es_ES |
dc.subject.other | Fading channels | es_ES |
dc.title | Wireless backhaul: Performance Modelling and Impact on User Association for 5G. | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.centro | E.T.S.I. Telecomunicación | es_ES |
dc.identifier.doi | 10.1109/TWC.2018.2806456 | |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es_ES |