The Optimization Of Spectrum Access For Wireless Networking Based On Game Theory

Wireless technology facilitates our life greatly, but the limited spectrum resources are too short to meet our demand for frequency bands. Available channel bands have become more and more crowded, especially with the appearance of4G and other new technologies, and the current available bands are not enough for new technology to use. Therefore, we are eager to make full use of existing spectrum resources.In order to understand the status of the spectrum resource utilization, we measure the wireless network channel condition in the real environment. The channel is wireless network transmission’s fundamental and most important resource, many devices want to access these, but there are interference from other competing technologies and equipment, the actual number of channel capacity can be achieved, the problem is how much load during the measurement of interest, therefore, to consider the composition of the measurement channel transmission focusing frame transmission mode, AP signal strength, the transmission rate of frames and other issues. Through the analysis of the measurement results, we found that the wireless access point in denser places, radio channel congestion, and channel utilization problems underneath.In order to fully utilize spectrum resources, many spectrum handoff techniques based on game theory have been proposed, but most studies only concern how to achieve better payoffs for users, without paying much attention to the Quality of Service (QoS). Thus, we propose a new channel-switching model based on game theory, using a prioritized approach to meet the diverse needs of users, such as bandwidth, delay, and jitter. Once the Nash equilibrium is achieved, our model will provide different QoSes based on setting different priorities to different users. We also propose two acceleration methods to reach the Nash equilibrium more efficiently. Finally, we evaluate the performance of the proposed schemes using real channel availability measurements. Experiments results show that our model can provide differentiated services and our algorithm is guaranteed to reach an approximate Nash equilibrium within polynomial time.