Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks

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dc.contributor.author Abbas, Nadine
dc.contributor.author Hajj, Hazem
dc.contributor.author Sharafeddine, Sanaa
dc.contributor.author Dawy, Zaher
dc.date.accessioned 2018-07-09T06:01:55Z
dc.date.available 2018-07-09T06:01:55Z
dc.date.copyright 2018 en_US
dc.identifier.issn 0018-9545 en_US
dc.identifier.uri http://hdl.handle.net/10725/8175
dc.description.abstract Traffic offloading via device-to-device communications is expected to play a major role to meet the exponential data traffic growth in wireless networks. In this work, we focus on the problem of user capacity maximization in ultra dense heterogeneous networks with device-to-device cooperation, where a large number of users in a given geographical area request common data content, such as video on demand streaming, with strict quality of service guarantees. We aim at finding the best strategy for delivering the content either over long range connectivity from the access points or short range connectivity from peer mobile terminals while meeting a target rate per served user. We formulate the multi-user resource management problem as an optimization problem including traffic offloading and channel allocation considering a very high user density reaching up to 1.75 users per square meter. We extend the system model to include mobile terminals acting as content owners by having the content cached locally, in order to further enhance the network's capacity and coverage. We then propose an iterative resource management solution, which first solves the optimization sub-problem of traffic offloading with orthogonal channels, and then optimally allocates channels to the transmitters with minimized interference due to channel reuse. We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. For performance evaluation, we consider a realistic scenario consisting of a stadium topology with thousands of mobile terminals active simultaneously. We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity. en_US
dc.language.iso en en_US
dc.title Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 201802638 en_US
dc.author.idnumber 200502746 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal IEEE Transactions on Vehicular Technology en_US
dc.journal.volume 67 en_US
dc.journal.issue 9 en_US
dc.article.pages 8723-8737 en_US
dc.identifier.doi http://dx.doi.org/10.1109/TVT.2018.2845135 en_US
dc.identifier.ctation Abbas, N., Hajj, H., Sharafeddine, S., & Dawy, Z. (2018). Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks. IEEE Transactions on Vehicular Technology 1(1), 99 en_US
dc.author.email nadine.abbas@lau.edu.lb en_US
dc.author.email sanaa.sharafeddine@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8374987 en_US
dc.orcid.id https://orcid.org/0000-0003-3028-326X en_US
dc.orcid.id https://orcid.org/0000-0001-6548-1624 en_US
dc.author.affiliation Lebanese American University en_US

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