Quality-aware bandwidth allocation for scalable on-demand streaming in wireless networks
IEEE Journal on Selected Areas in Communications
Cost-Effective Frequency Planning for Capacity Enhancement of Femtocellular Networks
Wireless Personal Communications: An International Journal
On optimal layering and bandwidth allocation for multisession video broadcasting
IEEE Transactions on Wireless Communications
Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks
IEEE Transactions on Multimedia
System Architecture and Cross-Layer Optimization of Video Broadcast over WiMAX
IEEE Journal on Selected Areas in Communications
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Good quality video services always require higher bandwidth. Hence, to provide the video services e.g., multicast/broadcast services (MBSs) and unicast services along with the existing voice, internet, and other background traffic services over the wireless cellular networks, it is required to efficiently manage the wireless resources in order to reduce the overall forced call termination probability, to maximize the overall service quality, and to maximize the revenue. Fixed bandwidth allocation for the MBS sessions either reduces the quality of the MBS videos and bandwidth utilization or increases the overall forced call termination probability and of course the handover call dropping probability as well. Scalable video coding (SVC) technique allows the variable bit rate allocation for the video services. In this paper, we propose a bandwidth allocation scheme that efficiently allocates bandwidth among the MBS sessions and the non-MBS traffic calls (e.g., voice, unicast, internet, and other background traffic). The proposed scheme reduces the bandwidth allocation for the MBS sessions during the congested traffic condition only to accommodate more calls in the system. Instead of allocating fixed bandwidths for the MBS sessions and the non-MBS traffic, our scheme allocates variable bandwidths for them. However, the minimum quality of the videos is guaranteed by allocating minimum bandwidth for them. Using the mathematical and numerical analyses, we show that the proposed scheme maximizes the bandwidth utilization and significantly reduces the overall forced call termination probability as well as the handover call dropping probability.