Abstract:

Spectrum sharing mechanism among distributed cognitive radio nodes is studied. Based on interference temperature model, the spectrum sharing problem is changed into a nonlinear power optimization problem. A distributed power allocation algorithm is proposed to maximize the network utility under multiple interference temperature limits. The presented algorithm solves the nonlinear optimization using primal-dual method with limited information exchange among cognitive radio nodes. Analysis and simulation show that the network utility is enhanced dramatically using the proposed algorithm.

Key words: cognitive radio, interference temperature, power control, spectrum sharing