Adaptive and Cognitive UWB Radio and a Vision for Flexible Future Spectrum Management

The continuing intense debate on introduction of ultra wideband (UWB) communications has focused on concerns about interference into and by other communication systems, and resulted in much research into how to mitigate it. Adaptive techniques to mitigate interference are summarized. The definition and use of "cognitive" and other hyperbolic and anthropomorphic terms are discussed. Developments in UWB cognitive radio (CR) to minimize interference, maximize capacity, share the radio spectrum more efficiently, and more, are summarized, and their foundations in, and linkage to, software defined radio (SDR) are noted. Motivated by measurements showing, e.g., typical spectrum utilization of about 30% below 3 GHz and 0.5% in the 3-6 GHz frequency band, CR techniques for sharing the radio spectrum by wireless systems, including UWB wireless radio, are succinctly described, and a vision for flexible, dynamic spectrum management is advanced.

[1]  Matthew L. Welborn,et al.  The importance of fractional bandwidth in ultra-wideband pulse design , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[2]  I.D. O'Donnell,et al.  Spectrum sharing radios , 2006, IEEE Circuits and Systems Magazine.

[3]  T. Ikegami,et al.  A proposal for an interference mitigation technique facilitating the coexistence of biphase UWB and other wideband systems , 2004, 2004 International Workshop on Ultra Wideband Systems Joint with Conference on Ultra Wideband Systems and Technologies. Joint UWBST & IWUWBS 2004 (IEEE Cat. No.04EX812).

[4]  Joseph Mitola.  Cognitive Radio for Flexible Mobile Multimedia Communications , 2001, Mob. Networks Appl..

[5]  Christophe Moy,et al.  An ultra-wide band umbilical cord for cognitive radio systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[6]  Georgios B. Giannakis,et al.  Ultra-wideband communications: an idea whose time has come , 2003, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689).

[7]  M. Sablatash.  Mitigation of Interference by Ultra Wide Band Radio into Other Communication Services: Evolution to Cognitive Ultra Wide Band Radio , 2007, 2007 Canadian Conference on Electrical and Computer Engineering.

[8]  Michael Sablatash.  Pulse Shaping, Modulation and Spectrum Shaping for UWB Wireless Communications and the Effects on Interference for Single and Multiband Transmission of UWB Signals , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[9]  Lawrence E. Larson,et al.  A Coding Technique for the Spectral Shaping of Ultra-Wideband Time-Hopping Signals , 2007, IEEE Transactions on Vehicular Technology.

[10]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[11]  J. Lansford,et al.  UWB coexistence and cognitive radio , 2004, 2004 International Workshop on Ultra Wideband Systems Joint with Conference on Ultra Wideband Systems and Technologies. Joint UWBST & IWUWBS 2004 (IEEE Cat. No.04EX812).

[12]  Honggang Zhang,et al.  Multiple signal waveforms adaptation in cognitive ultra-wideband radio evolution , 2006, IEEE Journal on Selected Areas in Communications.

[13]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[14]  A. Wittneben,et al.  Performance of UWB Systems using a Temporal Detect-and-Avoid Mechanism , 2006, 2006 IEEE International Conference on Ultra-Wideband.

[15]  Honggang Zhang,et al.  Cognitive ultra wide band radio: a research vision and its open challenges , 2005, 2nd International Workshop Networking with Ultra Wide Band and Workshop on Ultra Wide Band for Sensor Networks, 2005. Networking with UWB 2005..

[16]  James K. Cavers,et al.  A new coding technique for spectral shaping of data , 1992, IEEE Trans. Commun..

[17]  Danijela Cabric,et al.  White paper: Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum , 2004 .

[18]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[19]  F. Vatalaro,et al.  Performance Evaluation of Detect and Avoid Procedures for Improving UWB Coexistence with UMTS and WiMAX systems , 2006, 2006 IEEE International Conference on Ultra-Wideband.