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dc.contributor.authorRahman, Aniq Ur
dc.contributor.authorKishk, Mustafa Abdelsalam
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2020-12-28T13:11:33Z
dc.date.available2020-12-28T13:11:33Z
dc.date.issued2020-12-19
dc.identifier.urihttp://hdl.handle.net/10754/666721
dc.description.abstractWe study the behaviour of WiFi and 5G cellular networks as they exploit the recently unlocked 6 GHz spectrum for unlicensed access, while conforming to the constraints imposed by the incumbent users. We use tools from stochastic geometry to derive the theoretical performance metrics for users of each radio access technology, which helps us in capturing the aggregate behaviour of the network in a snapshot. We propose a framework where the portions of cellular and WiFi networks are grouped together to form entities. These entities interact to satisfy their Quality of Service demands, by playing a non-cooperative game. The action of an entity corresponds to the fraction of its network elements (WiFi access point and cellular base stations) operating in the 6 GHz band. Due to the decentralized nature of the entities, we find the Nash equilibrium using distributed Best Response Algorithm, where each entity takes actions without any centralized scheduling. The results demonstrate how the system parameters affect the performance of a network at equilibrium and highlight the throughput gains of the networks as a result of using the 6 GHz bands, which offer considerably larger bandwidths. The proposed framework is flexible and can be used to model a variety of scenarios for feasibility and performance assessment of the networks involved.
dc.description.sponsorshipThis work was funded in part by the Center of Excellence for NEOM Research at KAUST.
dc.publisherarXiv
dc.relation.urlhttps://arxiv.org/pdf/2012.10644
dc.rightsArchived with thanks to arXiv
dc.titleA Game Theoretic Perspective into the Coexistence of WiFi and NR-U at the 6GHz Unlicensed Bands
dc.typePreprint
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST), CEMSE division, Thuwal 23955-6900, Saudi Arabia.
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.eprint.versionPre-print
dc.identifier.arxivid2012.10644
kaust.personRahman, Aniq Ur
kaust.personKishk, Mustafa Abdelsalam
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-12-28T13:12:18Z
kaust.acknowledged.supportUnitCenter of Excellence for NEOM Research


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