Soft-decision cognitive radio power control based on intelligent spectrum sensing

We formulate an expression for the channel capacity of a soft-decision cognitive network in which cognitive radio transmitters can share spectrum usage with primary users depending on adaptive interference tolerance limits. We consider the problem of capacity maximization in this domain and provide an efficient polynomial time algorithm for cognitive radio power control. Results obtained using this algorithm will be useful in soft-decision spectrum allocation for cognitive radio (CR) transmitters as well as for developing the general analytic enabling waveform for soft-decision CR.