PROJECT TITLE :
Rate-Optimal Coding Design in Joint Transfer of Energy and Information
In this letter, performance optimization for data transfer in a binary and noiseless one-approach data transmission system is investigated from the angle of data source design (e.g., coding scheme) whereas considering the quantity of energy that may be transferred. We propose a variable-length coding scheme and address 2 issues to optimize the data rate: (1) to determine a correct range of channel use (or maximal codeword length) while a fastened amount of energy is to be transferred; (a pair of) to determine a proper quantity of energy to be transferred whereas data is needed to be transferred at intervals a mounted variety of channel use. The two issues are each formulated as integer fractional programming issues and also the optimal solutions are derived with in-depth analysis. For each issues, numerical results show that the proposed variable-length coding scheme with the optimal quantity of energy to be transferred or optimal variety of channel use outperforms the coding strategy in an existing work.
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