Adaptive Transmit-Power Control Scheme for Cognitive Radios

Dynamic Spectrum Access (DSA) is a new spectrum management paradigm for facilitating effective utilization of the radio spectrum to meet demands in the growth of wireless services and applications. Cognitive radio has been proposed as the key enabling technology of DSA. Several approaches for regulating transmit-power in cognitive radio networks have been proposed in recent years. In this paper we analyze the two transmit-power control algorithms which have attracted research attention, namely, no-regret learning algorithm and iterative water-filling algorithm. We introduce an adaptive scheme which incorporates the two algorithms into the design of the functional units of cognitive engine, to meet the requirements of transmit-power control.