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Cognitive systems

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Transceiver and System Design for Digital Communications, 5th Edition — Recommend this title to your library

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Cognitive systems are used to adapt the operating system to the changing environment. This can be accomplished by many methods suggested in this chapter, and many additional methods will be available in the future. The optimal cognitive system solution evaluates a system's available capabilities as well as all of the available knowledge about the changing environment, and then it calculates, makes trade-offs, and determines the best solution for the system to adapt to these environmental changes with minimal impact to performance. In addition, the cognitive system contains a learning capability that uses past experiences and impact/results of changes and uses this information to make smart decisions in the future. Game theory has been used to establish cognitive networks, and selfish nodes are eliminated by cooperation and establishing a Nash equilibrium. Although there are challenges with cognitive systems, they are beginning to infiltrate our current technologies, and they produce optimal communications and network systems.

Chapter Contents:

• 9.1 The environment
• 9.1.1 Jammers
• 9.1.1.1 Unfriendly jammers
• 9.1.1.2 Friendly jammers
• 9.2 Cognitive capabilities
• 9.2.1 Dynamic spectrum access
• 9.2.1.1 Alternative to implementing DSA-using random frequency switching
• 9.2.2.1 Standard closed-loop power/gain control requires modifications for convergence with two independent users
• 9.2.2.3 Integrated solution of closed loop and range
• 9.2.3 Cognitive techniques using modulation waveforms
• 9.2.4 Spread spectrum SS for increased process gain against jammers
• 9.2.6 Adaptive filter for jammer mitigation
• 9.2.7 Dynamic antenna techniques using AESAs
• 9.2.7.1 Beam steering
• 9.2.7.2 Null steering
• 9.2.7.3 Beam spoiling and narrowing
• 9.2.8 Antenna angle
• 9.2.9 Multiple antennas
• 9.2.10 Network configurations
• 9.2.11 Cognitive MANET networks
• 9.3 Cognitive system solution
• 9.4 Predicted methods—predicting before signal loss
• 9.5 Learning and reasoning capabilities of a cognitive system
• 9.5.1 Methods of reasoning
• 9.5.2 Elements of reasoning
• 9.6 Multiagent system MAS
• 9.7 Noncooperative game theory
• 9.8 Cooperative game theory
• 9.9 Coalitional game theory
• 9.10 Nash equilibrium
• 9.10.1 Nash equilibrium definitions
• 9.10.2 Nash equilibrium examples
• 9.11 Challenges to cognition
• 9.12 Summary
• 9.13 Problems

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