A novel JSCC scheme for scalable video transmission over MIMO systems

MIMO recently emerges as one of promising techniques for wireless video streaming. It is still a challenge to provide un-equal error protections by joint source-channel coding (JSCC) over multiple diverse MIMO sub-channels. In this paper, a joint source-channel coding and antenna mapping scheme for scalable video transmission over MIMO systems is proposed. Bandwidth are elaborately allocated between video source and channel protections by layer extracting and FEC coding. For the extracted layers, we determine i) which antenna will they be transmitted over and ii) how much redundancy bits will be added for error protections. We formulate this scheme into a non-linear integer optimization problem, whose complexity is very high. Instead, a low-complexity branch-and-bound algorithm is presented. Source layers are partitioned into subsets of layers, and the selected layer are mapped to antennas using Min-max scheduling algorithm. By branching and pruning, the computation complexity are reduced significantly. We carry out extensive numerical experiments under various network conditions. The results demonstrate our algorithm´s efficiency and the overall transmission quality is improved significantly.