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Entropy and Channel Capacity under Optimum Power and Rate Adaptation over Generalized Fading Conditions

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Original languageEnglish
Pages (from-to)2162-2166
Number of pages5
JournalIEEE Signal Processing Letters
Issue number11
Publication statusPublished - 1 Nov 2015
Publication typeA1 Journal article-refereed


Accurate fading characterization and channel capacity determination are of paramount importance in both conventional and emerging communication systems. The present work addresses the non-linearity of the propagation medium and its effects on the channel capacity. Such fading conditions are first characterized using information theoretic measures, namely, Shannon entropy, cross entropy and relative entropy. The corresponding effects on the channel capacity with and without power adaptation are then analyzed. Closed-form expressions are derived and validated through computer simulations. It is shown that the effects of nonlinearities are significantly larger than those of fading parameters such as the scattered-wave power ratio, and the correlation coefficient between the in-phase and quadrature components in each cluster of multipath components.


  • Adaptation policies, channel capacity, entropy

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