ABSTRACT
This paper focuses on underlay cognitive radio network with sets of half-duplex downlink and uplink secondary users and a full-duplex cognitive base station. The secondary user shares multiple channels with the primary user. The proposed resource allocation technique maximizes the sum rate of all the secondary users based on transmit and interference power constraints. The power allocation can be performed using concave difference approach and allocated power is optimized using gravitational search optimization algorithm. The performance of the proposed work is evaluated with the conventional approaches.
