Cognitive Radios, Networks, and Systems for Digital Communications

Course 251

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This seminar provides a tutorial on multiple cognitive functions and capabilities at multiple levels including an overall cognitive system approach to reduce the effects of the environment. It covers a wide range of cognitive techniques, including cognitive radios, dynamic spectrum access DSA, adaptive power control using control theory for stability, adaptive modulation, adaptive spreading and error correction, dynamic antenna techniques using AESAs, cognitive antennas and MIMO, adaptive filters, orthogonalizing techniques, cognitive re-configuration of networks including mesh and Adhoc networks, optimizing networks, learning and reasoning techniques for cognitive decisions, goal conflicts, and cognitive system approach utilizing all available adaptive and controllable capabilities in the system. In addition, several examples and step processes are discussed to determine the optimal solutions and tradeoffs between the many cognitive capabilities.

Learning objectives

Upon completing the course you will be able to:

  • Understand the concepts and definition of cognitive and adaptive processes.
  • Realize the need to provide cognitive process for the future digital communication links and networks
  • Evaluate the reasons for poor QoS for a digital communication system and learn of the many different cognitive techniques to mitigate their effects.
  • Learn how to use Dynamic Spectrum Access DSA in a cognitive system and the process and flow of each of the nodes in a network.
  • Understand adaptive power control in a cognitive system and learn what is needed for an open loop solution and a stable closed loop power control system between two users
  • Analyze the methods to incorporate cognitive modulations and the advantages and disadvantages of higher order modulation techniques..
  • Understand additional cognitive capabilities including adaptive filters, adaptive burst clamps, adaptive error correction and interleaving, spread spectrum, adaptive signal detection, and orthogonality methods.
  • Evaluate the techniques used to incorporate cognitive processes including software defined radios, software defined networks, and low-cost available system for use in test and evaluation of the cognitive processes.
  • Perform trade-offs between multiple capabilities to provide the optimal cognitive solution for the minimal cost of effect on the system.
  • Understand controllable AESA antennas for null-steering, beam forming, directivity, multipath communications, and MIMO systems.
  • Evaluate cognitive techniques using learning, reasoning, monitor and control, and goals for the cognitive system.
  • Understand how Mobile Adhoc NETworks MANET can using cognitive processes to improve their performance.
  • Realize the need for a complete cognitive solution using all available capabilities over single cognitive components.

Target Audience

This course will be of interest to RF, analog, digital, systems and software engineers and managers who are interested in learning more about cognitive capabilities and learning how to evaluate and improve the total system through cognitive system processes. This applies to both those that want to gain an understanding of basic cognitive capabilities and those that are experienced engineers that want a better understanding of cognitive processes.


Day 1

 • Cognitive Technique for a changing environment • Definition of Cognition • Cognitive radios using software defined radios • Cognitive goals • Cognitive capabilities • Evaluation of the environment • Adaptive techniques including DSA, power control for a stable closed-loop solution, modulation, spread spectrum, and error correction, interleaving, detection, cosite filters, multi-hop adhoc meshed networks.

Day 2

 • Adaptive Burst clamp • Demodulation Techniques • Adaptive Filters for narrowband band suppression in a wideband signal • Adaptive Orthogonal functions to reduce jammer effects • Adaptive and Cognitive Networking and capabilities to perform Tradeoffs • Dynamic antenna techniques and capabilities including MIMO for system cognition • Cognitive MANET networks • Combined cognitive system solution by evaluation of all system capabilities • Learning and reasoning techniques for improved cognitive capability • Monitor and control functions, and goal conflicts • Cognitive system control processes and examples for optimizing the system solution • Parallel evolution preferred over serial ‘stovepipe’ solutions to cognition