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Date: 21 March 2010
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Artificial intelligence to improve wireless communications  


Topic Name: Artificial intelligence to improve wireless communications
Category: Telecommunication
        

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Research persons: Dr David Grace,Department of Electronics,University of York

Location: Heslington, United States

Details

Artificial intelligence to improve wireless communications

Equipment using wireless technology is becoming increasingly commonplace but
despite this up to 90 per cent of the radio spectrum can be idle in any one
location.
The failure to unlock the potential of this unused radio spectrum is now
becoming one of the main obstacles to the further development of user-friendly
wireless technology.
Applying distributed artificial intelligence to wireless devices, giving them
the cognitive capabilities to route information through a network and access the
radio spectrum, by taking into account behaviour of other devices and the local
environment in which they operate, holds the key to the next communications
revolution
Dr David Grace, from the Department of Electronics, is chairing a research
group established by the Worldwide Universities Network (WUN) to look at the
challenges facing the developers of devices, software and firmware and examine
future global changes that will be necessary to radio regulation, business
models and economics.
WUN is providing logistical and financial support to the Cognitive
Communications Consortium (CogCom) which includes 25 academic and industrial
partners from Europe, North America, Asia and Australasia. WUN CogCom will look
at novel ways to significantly enhance the capability of wireless devices to
access the radio spectrum and form networks.
The multi-disciplinary project will bring together wireless communications,
distributed artificial intelligence, applied electromagnetics, and
implementation.
Two fields of study are already emerging: cognitive radio, which deals with
the intelligent assignment and use of the radio spectrum; and cognitive
networking, which deals with the intelligent routing of information through a
network, taking into account local constraints. WUN CogCom will also examine how
to develop smarter and greener systems.

About the researcher :

Dr. David Grace
MEng, DPhil (York) ,MIEEE ,MIET
Senior Research Fellow, Head of Wireless Networks Lab
Research Interests

Cognitive radio and cognitive networking for mixed wireless systems.

Radio resource management in general including, dynamic spectrum sharing and coexistence, application of economics to spectrum assignment, and distributed dynamic channel assignment, including specialist knowledge of their application to High Altitude Platforms and wireless ad hoc networks.

System level design, interference studies and mitigation techniques for mixed wireless systems, incorporating current and future standards, including 3G (WCDMA, TD-SCDMA, cdma2000), IEEE802.22, IEEE802.16 (WiMAX), and IEEE802.11x (WiFi).

Propagation modelling at cellular and mm-wave frequencies.

Email: dg6@ohm.york.ac.uk
Homepage: http://www.davidgrace.info
Tel: +44 (0)1904 43 2396
Fax: +44 (0)1904 43 2335


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