Throughput Optimization for Cognitive Radios Under Sensing Uncertainty

The efficiency of a cognitive radio system depends critically on sensing reliability since post-sensing communication efficiency is subject to optimal resource allocation under this sensing uncertainty. In this paper, the authors develop online algorithms for maximizing throughput in a cognitive radio when the sensing outcome of the primary channel (available/unavailable) is not always reliable. They first develop a very efficient per-slot power allocation algorithm for a secondary user transmitting under total power constraints over a period of M time slots, assuming reliable sensing during each slot but with no look-ahead capability.

Provided by: Institute of Electrical and Electronics Engineers Topic: Mobility Date Added: Oct 2010 Format: PDF

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