Adaptive power control and beam-forming joint optimization in cognitive radio networks

Abstract

A novel adaptive power control and beam-forming joint optimization algorithm is proposed in cognitive radio (CR) underlay networks, where cognitive network share spectrum with primary network which spectrum is licensed. In this paper, both primary base station (PBS) and cognitive base station (CBS) are all equipped with multi antennas, while each primary user (PU) and cognitive user (CU) has only one antenna. Different from traditional algorithms, an adaptive weight factor generating solution is supplied to different access users (both PUs and CUs) in this paper, and the different priority of users is also considered, because PUs have higher priority, the weight factor of PUs is fixed as constant and signal-to-interference and noise ratio (SINR) threshold is unchanged, while for CUs, it is set adaptively and SINR threshold is also changed accordingly. Using this algorithm, the transmit power is decreased, which relax the strict requirements for power amplifier in communication systems. And moreover, owing to PUS has fixed SINR threshold, the calculated SINR at receiver is nearly unchanged, but for CUs, the SINR is changing with the adaptive weight factor. Under the assurance of quality of service (QoS) of PUs, the solution in this paper can enable CRs access to the CR network according to adaptive SINR threshold, therefore which supplies higher spectrum utilization efficiency.