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A class of limited sensing random access algorithms with resistance to feedback errors and effective delay control

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2 Author(s)
Anthony T. Burrell ; Oklahoma State University, USA ; Titsa P. Papantoni

We present and analyze a class of limited sensing random access algorithms with powerful properties. The algorithms are implementable in wireless mobile environments and their operational properties are simple. Their throughput in the worst case of the limit Poisson user model is 0.4297, while this throughput degrades gracefully in the presence of channel feedback errors.

Published in:

Journal of Communications and Networks  (Volume:8 ,  Issue: 1 )