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Opportunistic cellular communications with clusters of dual-radio mobiles

Asadi, Arash (2012) Opportunistic cellular communications with clusters of dual-radio mobiles. Masters thesis, Universidad Carlos III de Madrid, Spain.

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Opportunistic scheduling was initially proposed to exploit user channel diversity for network capacity enhancement. However, the achievable gain of opportunistic schedulers is generally restrained due to fairness considerations which impose a tradeoff between fairness and throughput. In this dissertation, we show via analysis and simulation that opportunistic scheduling not only increases network throughput dramatically, but also can be fair to the users when they cooperate, in particular by forming clusters. We propose to leverage smartphone’s dual-radio interface capabilities to form clusters among mobile users, and we design simple and scalable cluster-based opportunistic scheduling strategies which would incentivize mobile users to form clusters. We use a coalitional game theory approach to analyze the cluster formation mechanism, and show that proportional fair-based intra-cluster payoff distribution would bring significant incentive to all mobile users regardless of their channel quality.

Item Type: Theses (Masters)
Additional Information: “Premio Extraordinario de Máster Oficial Universidad Carlos III de Madrid – Curso 2011/2012. Programa de Máster Interuniversitario en Ingeniería Telemática.” Masters thesis defended on October 3rd, 2012, in Madrid, Spain. The prize was awarded on December 18th, 2012.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Arash Asadi
Date Deposited: 17 Jan 2013 11:37
Last Modified: 05 Mar 2014 11:08

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