Cognitive Radio

One problem facing cognitive radio is the need to accurately estimate performance metrics. Performance estimation algorithms are limited in the face of new circumstances. For example, heuristic algorithms such as genetic algorithms (GA) require specific knowledge about interference conditions to adapt to fitness functions. This article describes an experimental design approach to analyze the performance results of a few configurations and create a demonstration model. This approach can overcome the need for specific knowledge about the channel or noisy environments and deal with new situations. Given the inherent limitations of the theoretical system model, it is difficult to achieve this problem.

Cognitive radio (CR) is expected to be a solution to the problem of insufficient spectrum utilization. However, security concerns related to cognitive radio technology are still a lack of research topic. One of the main problems is intelligent radio frequency (RF) jamming attacks that allows attackers to design and deploy sophisticated interference strategies using real-time reconfiguration and cognitive radio learning mechanisms. In this paper, we use the game theory method to analyze the behavior of interference / anti - interference between cognitive radio systems. A non-zero total game, including incomplete information on the strategy and payment of the opponent, is modeled as an extension of the Markov Decision Process (MDP). Consider an adaptive payment game and a learning algorithm based on a virtual game. The combination of frequency hopping and power change is used as an interference prevention solution.

In this field, artificial intelligence has just begun. Cognitive radio handling the use of intelligent allocation and radio spectrum, and cognitive network, intelligent routing of information through networks considering local constraints are several areas of research. Applying distributed artificial intelligence to wireless devices by providing cognitive functions of routing information and accessing the wireless spectrum through the network by considering the behavior of other devices and the local environment in which they operate, It is the key to the next communication revolution.