A hybrid transmission scheme for multiple IPTV streams in UWB bridged networks
ICOIN'09 Proceedings of the 23rd international conference on Information Networking
Distributed reservation algorithms for video streaming over UWB-based home networks
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
High definition video transmission using bluetooth over UWB
IEEE Transactions on Consumer Electronics
A disturbed resource reservation structure for mobility and QoS support in WiMedia networks
IEEE Transactions on Consumer Electronics
The MBOA-WiMedia specification for ultra wideband distributed networks
IEEE Communications Magazine
A Distributed Cooperative MAC Protocol for QoS Improvement and Mobility Support in WiMedia Networks
Wireless Personal Communications: An International Journal
A Cooperative MAC Protocol for QoS Enhancement in Wireless USB Networks
Wireless Personal Communications: An International Journal
Wireless USB Cluster Tree based on Distributed Reservation Protocol for Mobility Support
Wireless Personal Communications: An International Journal
Cooperative Distributed MAC Design for Cross-layer Link Adaptation of UWB WPAN Devices
Wireless Personal Communications: An International Journal
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Merits of distributed medium access control specified by WiMedia Alliance such as distributed nature and high data rate make it a favorite candidate standard for high rate wireless personal area network. However, the current WiMedia MAC standard has not considered supporting Quality of Service (QoS) even though QoS parameters such as a range of service rates are provided to each traffic stream (TS). Therefore, we propose a fair and QoS-aware resource allocation method that provides a fair and maximized QoS for all TSs according to the current traffic load condition and differentiates SoQ among different QoS classes while guaranteeing fairness of SoQ within a QoS class in a fully distributed manner. Even in case that the traffic load varies, each device independently recognizes the changes and calculates fair and maximum allowable service rates for TSs. From the simulation results, it is proven that the proposed method achieves high capacity of TSs and fair QoS provisioning under various traffic load conditions.