Accessibility statement

Cognitive Radio for Short Range Systems

This project will examine how best to deliver cognitive radio in short range systems. Techniques based on Ultra Wide Band (UWB) and/or Orthogonal Frequency Division Multiplex (OFDM) will be explored, specifically examining how such systems can simultaneously operate in a pooled spectrum environment, while maintaining appropriate QoS for other systems, including primary users.

The project will investigate how such short range systems can exploit the enhanced shielding presented by buildings to enhance frequency reuse, while minimising the impact from the hidden terminal problem’ due to the unpredictable predictable environment. Distributed artificial intelligence techniques, such as reinforcement learning, will be used to dynamically adjust device and system behaviour in response to changes in the environment. Power/bandwidth efficient spectrum assignment strategies will be developed which cognitively adapt to best exploit (potentially excess) available spectrum in a local area, while taking into account channel conditions and sensing constraints. The benefits and drawbacks of such approaches over more traditional techniques will be evaluated.

A mixture of simulation and analysis will be used to assess performance. Set theory and Markov analysis will be particularly important analytical tools. This work will integrate closely with other activities within the Group.

Key objectives

  • To understand how CR can be applied to UWB systems.
  • To determine the range extensions possible using cognitive techniques.
  • To understand how distributed artificial intelligence can be used to control behaviour of short-range wideband systems.

Outputs

  • CR based UWB schemes intended for short ranges
  • Simulations and analysis showing relative performance of the schemes
  • Contributions to conference and journal papers.

Members

  • RuoFan Jin
  • David Grace
  • Paul Mitchell

Dates

  • October 2008 to
    November 2012

Research