logo EDITE Amr ABDELFATTAH
Identité
Amr ABDELFATTAH
État académique
Thèse en cours...
Sujet: Etude de la radio cognitive pour une évolution vers les réseaux 5G
Direction de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-01404091
Studying the Impact of LTE-U on Wi-Fi Downlink Performance
International audience
To address the mobile data growth challenges, mobile operators need to access more spectrum resources. LTE in unlicensed spectrum (LTE-U) has been proposed to extend the usual operation of LTE in licensed spectrum to cover also unlicensed spectrum, mainly at 5 GHz band due to its wide spectrum availability. However, this extension poses significant challenges especially regarding the coexistence between LTE-U and legacy systems like Wi-Fi. In case of LTE-U adopts Time-Division Multiplexing (TDM) schemes to share the spectrum with Wi-Fi, we expect performance degradations of Wi-Fi networks. In this paper, we quantify the impact of TDM schemes on Wi-Fi performance in a coexistence scenario. We provide an analytical model to compute the probability of collision faced by Wi-Fi and its downlink throughput performance. This model provides an upper bound of the probability of collision that could be faced by a finite number of Wi-Fi stations. NS3 simulations show that the model estimates accurately the collision probability and the throughput experienced by Wi-Fi. The model is then used to study and compare different coexistence schemes showing for instance that the Wi-Fi frame size impacts globally the performance of Wi-Fi users.
2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) https://hal.archives-ouvertes.fr/hal-01404091 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Oct 2016, New York, United States. 2016ARRAY(0x7f03ff0afa80) 2016-10-17
oai:hal.archives-ouvertes.fr:hal-01526206
Modeling and Performance Analysis of Wi-Fi Networks Coexisting with LTE-U
International audience
In order to cope with the exponential growth of mobile traffic, mobile operators need to access more spectrum resources. LTE in unlicensed spectrum (LTE-U) has been proposed to extend the usual operation of LTE in licensed spectrum to cover also unlicensed spectrum. However, this extensionposes significant challenges especially regarding the coexistence between LTE-U and legacy systems like Wi-Fi. In case of LTE-U adopts Time-Division Multiplexing (TDM) schemes to share the spectrum with Wi-Fi, we expect performance degradations of Wi-Fi networks. In this paper, we quantify the impact of TDM schemes on Wi-Fi performance in a coexistence scenario. We provide detailed analytical models using two different random walk approaches to compute the probability of collision faced by Wi-Fi stations and their throughput performance. Besides, we derive the performance results using an exponential approximation which shows its insufficiency to capture the exact behavior. We implement the coexistence in the NS3 simulator and we show that the models estimate accurately the collision probability and the throughput experienced by Wi-Fi. The models are then used to study and compare different coexistence schemes showing for instance that the Wi-Fi frame size has a non-negligible impact on the performance of Wi-Fi users.
INFOCOM 2017 Proceedings IEEE International Conference on Computer Communications (INFOCOM 2017) http://hal.upmc.fr/hal-01526206 IEEE International Conference on Computer Communications (INFOCOM 2017), May 2017, Atlanta, GA, United States. INFOCOM 2017 Proceedings, <http://infocom2017.ieee-infocom.org/> http://infocom2017.ieee-infocom.org/ARRAY(0x7f03ff0abf48) 2017-05-01