Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.662688
Title: Radio resource management and metric estimation for multi-carrier CDMA systems
Author: Tabulo, Moti M.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2005
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Abstract:
This thesis investigates the management of radio resources in the physical layer (PHY and MAC layers of multi-carrier CDMA (MC-CDMA)) systems and how the estimation of metric sin the various layers may be used in performing a cross layer management of resources to provide increased QoS whilst making optimal usage of the radio resource. At the PHY layer, the grouping and subcarrier allocation problem for a grouped MC-CDMA system is formulated as an integer linear programming problem. Two algorithms are proposed to solve this problem, namely a Branch and Bound based algorithm and a mixed probabilistic-greedy Local Search algorithm. The Local Search algorithm is found to offer increased QoS (in terms of BER) for more users at a lower complexity than any of the other algorithms. At the MAC layer, a new multi-rate model - multi-group MC-CDMA (MG-MC-CDMA) - is introduced and the performance of power-control and multi-group allocation algorithms in the MG-MC-CDMA system examined. A weighted fair queuing scheduler that takes advantage of the particular features of the MG-MC-CDMA system is proposed. A capacity model, incorporating an interference analysis and that takes into account the nature of the traffic types carried in the system, is outlined. In addition to MAC layer metrics characterising the traffic in the system, the capacity model has, as some of its required metrics, PHY layer parameters such as the ratio of inter-cell interference to total received power and information of whether or not a mobile is in a cell’s edge region. New techniques are proposed to estimate these metrics. The final contribution of the thesis is the use of the proposed dynamic capacity estimation formwork to develop new radio resource management algorithms that work across the PHY and MAC layers to deliver enhanced QoS.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.662688  DOI: Not available
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