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Minimum Cost Distributed Source Coding Over a Network

机译:网络上的最低成本分布式源编码

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This paper considers the problem of transmitting multiple compressible sources over a network at minimum cost. The aim is to find the optimal rates at which the sources should be compressed and the network flows using which they should be transmitted so that the cost of the transmission is minimal. We consider networks with capacity constraints and linear cost functions. The problem is complicated by the fact that the description of the feasible rate region of distributed source coding problems typically has a number of constraints that is exponential in the number of sources. This renders general purpose solvers inefficient. We present a framework in which these problems can be solved efficiently by exploiting the structure of the feasible rate regions coupled with dual decomposition and optimization techniques such as the subgradient method and the proximal bundle method.
机译:本文考虑了以最小成本通过网络传输多个可压缩源的问题。目的是找到应压缩源的最佳速率以及应使用源的网络流量,以使传输成本最小。我们考虑具有容量约束和线性成本函数的网络。该问题由于以下事实而变得复杂:对分布式源编码问题的可行速率区域的描述通常具有多个约束,这些约束在源的数量上是指数级的。这使通用求解器效率低下。我们提出了一个框架,在其中可以通过利用可行比率区域的结构以及双重分解和优化技术(例如次梯度方法和近端束方法)来有效解决这些问题。

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