MIMO Systems for ensuring Multimedia QOS over Scarce Resource Wireless Networks

ABSTRACT While much research has been done on multimedia compression and network resource optimization, multimedia delivery over wireless still entails the need for efficient network adaptive transmission and reception system. MIMO (Multiple input multiple output) systems offer parallel sub-channel transmission with tremendous increase in reliability and data rates over unreliable wireless channels. In this paper, we present algorithmic implementation of video streaming for preferential adaptation of CEZW+ (Color Embedded Zero Wavelet) compressed videos over wireless, in the facade of variable network bandwidth. Educational videos, involving video streaming of classroom videos are segmented into component blocks. Based on their relative importance and motion, segments with higher relevance are allocated more bandwidth. Moreover, transmission of more important data by higher quality sub-channels by unequal power distribution in antennas improves efficiency. Different video segments are simultaneously transmitted from different transmit antennas, boosting data rates and reliability. Our results prove excellent enhancement in streaming reliability and data rates.

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