PROJECT TITLE :
Distortion-Aware Concurrent Multipath Transfer for Mobile Video Streaming in Heterogeneous Wireless Networks
The huge proliferation of wireless infrastructures with complementary characteristics prompts the bandwidth aggregation for Concurrent Multipath Transfer (CMT) over heterogeneous access networks. Stream Control Transmission Protocol (SCTP) is the standard transport-layer answer to enable CMT in multihomed communication environments. But, delivering high-quality streaming video with the prevailing CMT solutions still remains problematic because of the stringent quality of service (QoS) requirements and path asymmetry in heterogeneous wireless networks. During this paper, we advance the state-of-the-art by introducing video distortion into the choice method of multipath knowledge transfer. The proposed distortion-aware concurrent multipath transfer (CMT-DA) resolution includes three phases: one) per-path status estimation and congestion management; 2) quality-optimal video flow rate allocation; three) delay and loss controlled data retransmission. The term 'flow rate allocation’ indicates dynamically picking acceptable access networks and assigning the transmission rates. We analytically formulate the info distribution over multiple communication paths to reduce the end-to-finish video distortion and derive the solution based mostly on the utility maximization theory. The performance of the proposed CMT-DA is evaluated through intensive semi-physical emulations in Exata involving H.264 video streaming. Experimental results show that CMT-DA outperforms the reference schemes in terms of video peak signal-to-noise ratio (PSNR), goodput, and inter-packet delay.
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