Packet Allocation for Efficient Use of Multiple Wireless Links in Cognitive Radio Networks

Recently, the use of wireless systems as cellular phones, PHS, Wi-Fi, and WiMAX has been expanding. Meanwhile the resources of wireless radio systems are finite. Therefore, there is concern about exhausting these resources due to their expanded growth. The cognitive radio networks have been proposed to resolve this problem. We previously proposed cognitive radio network system architecture, which includes a novel intermediate communication layer, the Cognitive Convergence Layer (CCL). To efficiently use the capability of each wireless interface, CCL must opportunely allocate input traffic to wireless interfaces. In this paper, we propose the Resource Time Sharing Algorithm (RTSA), which is a new packet allocation algorithm for high performance bandwidth aggregation. We have conducted extensive simulations to evaluate the RTSA performance in two different scenarios. As a result of comparisons with other traditional methods, we can show that RTSA achieves higher aggregated throughput and packet delay performance.