Dynamic throughput estimation for wireless multimedia transmission is examined in this research. A novel dynamic mapping scheme from measurements of a real-world wireless environment to a discrete Markov model is first proposed to simulate wireless video packet-based transmission. Then, the available throughput is estimated by using the derived discrete Markov model together with the number of negative acknowledgements (NACK) that are fed back from the receiver to the transmitter. The estimated throughput is used to perform the adaptive region-of-interest (ROI) rate control based on the multiple constraint optimization. The performance of the channel mapping scheme, the throughput estimation, and the region-of-interest rate control is demonstrated by simulating a micro-cell environment and ITU-T H.263+ video standard. Performance variation due to different estimation of throughput is compared and the performance improvement due to the multiple constraint optimization is demonstrated both in objective and subjective quality.
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