Abstract:

Under the constraints of interference temperature and total transmit power, an optimal subcarrier and power allocation algorithm is proposed for the uplink of cognitive radio networks to maximize the system throughput. The cognitive radio networks are based on the Orthogonal Frequency Division Multiple Access (OFDMA). The problem is formulated as a nonconvex optimization. Applying the Lagrange dual decomposition method and KarushKuhnTucker (KKT) condition, the proposed algorithm converges to the optimal solution. Simulation results show that this algorithm can achieve the performance of exhausted scheme while significantly decreasing the computational complexity.

Key words: communication, cognitive radio, resource allocation, KKT condition, Lagrange dual