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Abstract: We investigate the performance of rateless codes for single-server streamingto diverse users, assuming that diversity in users is present not only becausethey have different channel conditions, but also because they demand differentamounts of information and have different decoding capabilities. The LTencoding scheme is employed. While some users accept output symbols of alldegrees and decode using belief propagation, others only collect degree- 1output symbols and run no decoding algorithm. We propose several performancemeasures, and optimize the performance of the rateless code used at the serverthrough the design of the code degree distribution. Optimization problems areformulated for the asymptotic regime and solved as linear programming problems.Optimized performance shows great improvement in total bandwidth consumptionover using the conventional ideal soliton distribution, or simply sendingseparately encoded streams to different types of user nodes. Simulationexperiments confirm the usability of the optimization results obtained for theasymptotic regime as a guideline for finite-length code design.



Author: Yao Li, Emina Soljanin

Source: https://arxiv.org/







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