Resource allocation of OFDMA based cognitive radio systems under partial channel state information and raw sensing information

Cognitive radio is an emerging research topic aiming to improve spectrum usage. This paper deals with resource allocation problem in OFDMA cognitive radio systems. Previous research that has dealt with this problem assume perfect knowledge of the channel state information (CSI) and few works consider the quality of the spectrum sensing in the resource allocation issue. The proposed approach combines both partial CSI and raw sensing information (RSI), in order to offer a better compromise between the throughput and the quality of service (QoS) of the secondary system. The proposed algorithm is a sub-optimal low complex algorithm based on two steps. Simulations were drawn to evaluate the performance of this algorithm in terms of achievable data rate, power consumption, generated interference and QoS of the secondary users.