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A joint uplink-downlink optimization framework for resource management in next generation wireless networks -

Show simple item record El Hajj, Ahmad Mahmoud, 2014 2015-02-03T10:23:55Z 2015-02-03T10:23:55Z 2014 2014
dc.identifier.other b17932385
dc.description Dissertation (Ph.D.)-- American University of Beirut, Department of Electrical and Computer Engineering, 2014.
dc.description Chair of Committee : Dr. Karim Kabalan, Professor, Electrical and Computer Engineering ; Advisor : Dr. Zaher Dawy, Associate Professor , Electrical and Computer Engineering ; Committee Members: Dr. Mariette Awad, Assistant Professor, Electrical and Computer Engineering ; Dr. Bacel Maddah, Associate Professor, Engineering Management ; Dr. Hussein Alnuweiri, Professor, Texas A and M at Qatar ; Dr. Eduard Jorswieck, Professor, Dresden University of Technology.
dc.description Includes bibliographical references (leaves 146-162)
dc.description.abstract The constant evolution in wireless technologies has allowed the advent of a plethora of applications with different quality of service (QoS) requirements. Resource allocation is the process by which the frequency and power resources are efficiently distributed to the users in the network to satisfy their QoS requirements while maximizing as much as possible the network performance. Existing resource allocation schemes have mainly focused on optimizing the users' performance, independently, on either the uplink or the downlink. However, next generation wireless services such as video conferencing and multiplayer gaming are expected to involve many end-to-end interactions between the users. For such services, there is a need to optimize a QoS metric that takes into account, jointly, the uplink and downlink performance of the users. In this dissertation, we propose a joint uplink-downlink resource management framework for the state-of-the-art, orthogonal frequency division multiple access (OFDMA)-based wireless standards. The developed framework will jointly exploit service flow QoS parameters, cross-layer network performance metrics, channel state information, and queue state information in both the uplink and downlink directions. A queue-level analysis of the joint resource allocation process is performed using decentralized Markov decision processes. This is complemented by the development of queue-aware joint uplink-downlink resource allocation approaches that induce a coupling in the queue dynamics at the base station and mobile user sides. Furthermore, several resource allocation problems in an OFDMA network are formulated and solved using optimization and game theoretic techniques. As a special case, we address the particular challenges in employing the time division duplexing (TDD) mode of operation by jointly optimizing the following important design aspects in multicellular TDD-OFDMA wireless networks: the uplink-downlink (UL-DL) switching points, the UL-DL subcarrier allocation, and the UL-DL power alloc
dc.format.extent xi, 162 leaves : illustrations ; 30 cm
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ED:000044 AUBNO
dc.subject.lcsh Mathematical optimization.
dc.subject.lcsh Wireless communication systems.
dc.subject.lcsh Radio resource management (Wireless communications)
dc.subject.lcsh Orthogonal frequency division multiplexing.
dc.subject.lcsh Quality of service (Computer networks)
dc.subject.lcsh Queuing theory.
dc.title A joint uplink-downlink optimization framework for resource management in next generation wireless networks -
dc.type Dissertation
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering. degree granting institution.

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