چكيده به لاتين
Abstract:
Over the past 100 years, most of the available spectrum has been given to particular institutes and applications. Also, with the rising popularity of wireless devices, spectrum has become scarce in many countries. As an emerging technology based on the dynamic spectrum access, Cognitive Radio has an important role in the next generation wireless networks. It can provide more reliability, scalability and spectrum efficiency. These types of networks can control spectrum and change their parameters using artificial intelligent techniques.
This project, investigates the spectrum management problem in CRAHNs using game theory. Since optimizing the spectrum usage is a multi-objective optimization problem, a multi-objective utility function and network model for a cellular network is introduced. Using a non-cooperative game, we provided a solution for channel sensing and allocation in D2D communications. The network performance is analyzed considering wireless channel and system parameters (Path loss, transmission power, cell radius, system capacity, energy detection threshold, …). Results show that the proposed algorithm has a positive impact on adaptability to different conditions and therefore secondary users can use the shared spectrum more efficiently.
Keywords: Cognitive Radio Ad hoc networks, Spectrum management, Game Theory, Spectrum Allocation.
