Capacity Scaling of General Cognitive Networks
There has been recent interest within the networking research community to understand how performance scales in cognitive networks with overlapping primary nodes and secondary nodes. Two important metrics, i.e., throughput and delay, are studied in this paper. The authors first propose a simple and extendable decision model, i.e., the hybrid protocol model, for the secondary nodes to exploit spatial gap among primary transmissions for frequency reuse. Then, a framework for general cognitive networks is established based on the hybrid protocol model to analyze the occurrence of transmission opportunities for secondary nodes.