Abstract

In this paper, we study the problem of minimum signal-to-interference-plus-noise ratio (SINR) maximization in the downlink of a cognitive radio (CR) network. Subject to quality of service (QoS) constraints of all users and maximum transmission power constraints, an optimization scheme, employs genetic algorithm, is proposed to jointly calculate the complex weight vectors and downlink power allocations. The proposed scheme is applied in two different scenarios. In one scenario, the primary network cooperates in the power allocation and beamforming algorithm and adjusts its transmission power follow the instruction from CR network. In the other scenario, the primary network does not participate in the optimization process. The performance of the proposed scheme is investigated through numerical results.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.