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oai:riuma.uma.es:10630/292892026-02-03T11:29:25Zcom_10630_2254col_10630_37953

Jaber, Mona López-Martínez, Francisco Javier Imran, Muhammad Ali Sutton, Andy Tukmanov, Anvar 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 open access Sistemas de comunicaciones inalámbricos Sistemas de comunicaciones móviles Wireless backhaul: Performance Modelling and Impact on User Association for 5G. journal article