@inproceedings{discovery1566690,
       booktitle = {Proceedings of GLOBECOM 2017 - 2017 IEEE Global Communications Conference},
          volume = {2017},
         address = {Singapore},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
       publisher = {IEEE},
           title = {Optimization of Joint Progressive Source and Channel Coding for MIMO Systems},
            year = {2018},
          series = {IEEE Global Communications Conference (GLOBECOM)},
           month = {January},
             url = {https://doi.org/10.1109/GLOCOM.2017.8254148},
          author = {Meesue, S and Toni, L and Sang-Hyo, K and Seok-Ho, C},
        abstract = {The optimization of joint source and channel coding for a sequence of numerous progressive packets is a challenging problem. Further, the problem becomes more complicated if the space- time coding is also involved with the optimization in a multiple-input multiple-output (MIMO) system. This is because the number of ways of jointly assigning channel codes and space-time codes to progressive packets is much larger than that of solely assigning channel codes to the packets. This paper applies a parametric approach to address that complex joint optimization problem in a MIMO system. Employing the parametric distortion-rate function, the joint assignment of channel codes and space-time codes to the packets can be optimized in a packet-by- packet manner. As a result, the computational complexity of the optimization is exponentially reduced, compared to the exhaustive search. The numerical results show that the proposed method significantly improves the peak-signal-to-noise ratio performance of the rate-based optimal solution in a MIMO system.}
}