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The authors propose a distributed method of solution for the RRPWNUM problem to optimize the rate-reliability tradeoff in wireless networks with randomly time-varying channels. Distributed implementation of the proposed algorithm is based on the primal-dual decomposition of the problem and uses stochastic gradients to solve both the primal and dual parts of problem. The stochastic subgradient for the RRP-WNUM problem can be calculated based on local information and hence can be implemented in a distributed fashion.
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