Abstract:

To improve energy-efficiency and robustness of CR(Cognitive Radio), we investigate the robust energy-efficiency maximization algorithm in an OFDM(Orthogonal Frequency Division Multiplexing)-based CR networks with multiuser scenario in a given bounded uncertainty region. We use convex optimization method to obtain quasi-concave mathematic property and solve this problem via fractional programming technique. Simulation results show that this algorithm can strictly meet QoS(Quality of Service) requirement of primary users and promote energy-efficient performance of secondary users under noise plus interference uncertainty compared with non-robust scheme.

Key words: cognitive radio, energy-efficiency, robustness, worst-case