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The implementation of an optimal communication system should be given high priority.
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We have conducted several experiments aimed at testing whether it is possible to converge with RL to an optimal Saussurean Communication System.
Analytical expressions are derived for the energy gain obtained with the proposed system when compared either with the optimal blockwise MAP receiver or with a standard source coded system consisting of an optimal source encoder followed by an optimal uncoded binary communication system, i.e. by a symbol-by-symbol MAP detector.
In this perspective, the known pilot sequences that are optimal for any communication system and for any estimation task have to be reexamined.
Given an AWGN channel, we look at the problem of designing an optimal binary uncoded communication system for transmitting blocks of binary symbols generated by a stationary source with memory modelled by a Markov chain (MC) or a hidden Markov model (HMM).
Finding the optimal picture archiving and communication system (PACS) architecture: a comparison of three PACS designs.
Hence, it is obvious that the optimal performance of a communication system can be obtained where the instantaneous channel condition is considered.
For a lossy source-channel communication system to be optimal, the source distortion and the channel cost should lie on the optimal distortion-cost tradeoff curve.
In [28], an optimal power allocation policy for a communication system with two energy harvesting transmitters over an interference channel was proposed.
This idea is further explored in[4] where a set of necessary and sufficient conditions for any discrete-time memoryless point-to-point communication system to be optimal is provided.
In [26], optimal packet scheduling in a multiple access communication system with two energy harvesting transmitters was investigated.
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