Spectrum Trading in Cognitive Radio Network: An Agent-based Model under Demand Uncertainty

In this paper, we propose an agent-based spectrum trading model, where agent plays a third-party role in the trading process. Providing service to secondary users (SUs) with spectrum bought from primary users (PUs), agent makes profit in the spectrum trading process. We address the challenge of finding the most profitable strategy of agent(s) when spectrum demand is uncertain. We first address this challenge for the secondary network where single agent operates, and extend it to a multiple-agent system. To our best knowledge, this is the first solution to agent-based spectrum trading considering demand uncertainty.