Wireless backhaul: Performance Modelling and Impact on User Association for 5G.
Loading...
Identifiers
Publication date
Reading date
Authors
Jaber, Mona
López-Martínez, Francisco Javier
Imran, Muhammad Ali
Sutton, Andy
Tukmanov, Anvar
Tafazolli, Rahim
Collaborators
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Share
Department/Institute
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.
Description
Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/3585
Bibliographic 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






