Distributed Distortion Optimization for Correlated Sources with Network Coding
作者： Tao Cui , Lijun Chen , Tracey Ho
DOI: 10.1109/TCOMM.2012.032012.100791
关键词:
摘要: We consider lossy data compression in capacity-constrained networks with correlated sources. derive, using dual decomposition, a distributed algorithm that maximizes an aggregate utility measure defined terms of the distortion levels No coordination among sources is required; each source adjusts its level according to prices fed back by sinks. The developed for case squared error and high resolution coding where rate-distortion region known, can be easily extended achievable regions expressed related form. Our optimization framework applies unicast multicast without network coding. Numerical examples show relatively fast convergence, allowing used time-varying networks.
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