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Abstract
We propose an adaptive video transmission scheme to achieve unequal error protection in a closed loop multiple input multiple output (MIMO) system for wavelet-based video coding. In this scheme, visual entropy is employed as a video quality metric in agreement with the human visual system (HVS), and the associated visual weight is used to obtain a set of optimal powers in the MIMO system for maximizing the visual quality of the reconstructed video. For ease of cross-layer optimization, the video sequence is divided into several streams, and the visual importance of each stream is quantified using the visual weight. Moreover, an adaptive load balance control, named equal termination scheduling (ETS), is proposed to improve the throughput of visually important data with higher priority. An optimal solution for power allocation is derived as a closed form using a Lagrangian relaxation method. In the simulation results, a highly improved visual quality is demonstrated in the reconstructed video via the cross-layer approach by means of visual entropy.
Highlights
The ongoing broadband wireless networks have attractive advantages for providing a variety of multimedia streaming applications while guaranteeing the quality of service (QoS) for mobile users.many limitations for adapting the magnificent growth of multimedia traffic into expensive and capacity-limited wireless channels continue to exist
We explore a theoretical approach to crosslayer optimization between multimedia and wireless network layers by means of a quality criterion termed “visual entropy” for the closed-loop downlink multiple input multiple output (MIMO) system, using a wavelet coding algorithm
Using a progressive wavelet video encoder, for example, set partitioning in hierarchical trees (SPIHT) or embedded block coding with optimized truncation (EBCOT), each layer can be constructed by scanning wavelet coefficients [24, 25]
Summary
The ongoing broadband wireless networks have attractive advantages for providing a variety of multimedia streaming applications while guaranteeing the quality of service (QoS) for mobile users. In order to adapt a bulky multimedia traffic to a capacity-limited wireless channel, it is necessary to generate layered video bitstreams and to transmit more visually important data to higher quality subchannels and vice versa. We explore a theoretical approach to crosslayer optimization between multimedia and wireless network layers by means of a quality criterion termed “visual entropy” for the closed-loop downlink MIMO system, using a wavelet coding algorithm. Due to channel variations, transmissions using different antennas may experience different packet loss rates using the optimal receiver In this case, the greater visual quality can be obtained by transmitting the more important data via the best quality channel. To quantify the visual importance, visual entropy is introduced Based on this value, the video data with a more important information is transmitted over a high-quality channel and vice versa. An adaptive load balance control scheme named equal termination scheduling (ETS) is proposed to give a privilege for high-priority data by avoiding inevitable channel errors over an error-prone channel
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