Efficient Resource Allocation Algorithm with Rate Requirement Consideration in Multicarrier-Based Cognitive Radio Networks

In this paper, we present an efficient downlink resource allocation algorithm with rate requirement consideration in multicarrier-based cognitive radio (CR) networks. The algorithm is divided into two steps aiming to maximize the downlink capacity of the network under the total power, the interference introduced to the primary users (PUs) and the transmission rate of the secondary users (SUs) constraints. The transmission rate requirement is considered by ensuring the allocated number of subcarriers satisfies the required number of subcarriers for every SU within the subcarrier assignment step and turning the minimum transmission rate threshold constraints into the minimum power constraint on each subcarrier within the power allocation step. Simulation results demonstrate that the proposed algorithm provides a good guarantee of transmission rate requirement and prove that filter bank multicarrier (FBMC) has higher efficiency than orthogonal frequency division multiplexing (OFDM) in CR networks.