2026-06-02T11:15:39Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/292892026-02-03T11:29:25Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Jaber, Mona
author
López-Martínez, Francisco Javier
author
Imran, Muhammad Ali
author
Sutton, Andy
author
Tukmanov, Anvar
author
Tafazolli, Rahim
2024-01-26T11:06:41Z
2024-01-26T11:06:41Z
2018-02-22
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
https://hdl.handle.net/10630/29289
10.1109/TWC.2018.2806456
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.
eng
Sistemas de comunicaciones inalámbricos
Sistemas de comunicaciones móviles
Wireless backhaul: Performance Modelling and Impact on User Association for 5G.
journal article
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URL
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File
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464857
application/pdf
TWC2806456.pdf