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Title: Efficient video traffic distribution over WiMAX systems
Author: Tsitserov, Dmitry Vladimirovich
Awarding Body: Lancaster University
Current Institution: Lancaster University
Date of Award: 2012
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This thesis is dedicated to the development and practical verification of a new video traffic distribution technique for implementation in WiMAX systems. The proposed technique is applicable to M-health and video surveillance application areas and allows for better system resource optimization under the selected case study scenarios. The presented technique incorporates scalable video transmission of MPEG-originated elementary streams, a cross-layer delivery framework and the WiMAX MAC layer enhancement. Video segmentation is achieved through a separate transmission of elementary streams associated with the primitive objects contained in the original MPEG video scene. The introduced MAC entity, such as the Extended Classifier provides selective distribution of arriving packets between WiMAX QoS service connections. The choice of service classes and their quantity, con-elation between segmented video streams, general data streams and selected service connections is the main research focus of this work. The next part of this thesis deals with video broadcasting in WiMAX networks. The problem of variable reception conditions and video instability for broadcasting users is investigated here. A new broadcasting service, termed Enhanced Standard Definition video broadcasting, is proposed for better bandwidth optimization of WiMAX networks. The video distribution technique and the WiMAX delivery framework designated in support of a new broadcasting service are backward compatible with a WiMAX network reference model. NS-2 based computer simulations with the proposed innovations show the efficiency of these contributions that are analyzed by comparing the conventional and the introduced broadcasting algorithms.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available