CFP last date
20 May 2024
Reseach Article

Cognitive Radio: An intelligent Device for Dynamic Spectrum Access (DSA) and Radio Resource Management (RRM)

Published on April 2013 by Harshali Patil, Seema Purohit
International Conference and Workshop on Emerging Trends in Technology 2013
Foundation of Computer Science USA
ICWET2013 - Number 1
April 2013
Authors: Harshali Patil, Seema Purohit
8aa700f9-ef95-4412-b9d8-7e50d147e921

Harshali Patil, Seema Purohit . Cognitive Radio: An intelligent Device for Dynamic Spectrum Access (DSA) and Radio Resource Management (RRM). International Conference and Workshop on Emerging Trends in Technology 2013. ICWET2013, 1 (April 2013), 31-35.

@article{
author = { Harshali Patil, Seema Purohit },
title = { Cognitive Radio: An intelligent Device for Dynamic Spectrum Access (DSA) and Radio Resource Management (RRM) },
journal = { International Conference and Workshop on Emerging Trends in Technology 2013 },
issue_date = { April 2013 },
volume = { ICWET2013 },
number = { 1 },
month = { April },
year = { 2013 },
issn = 0975-8887,
pages = { 31-35 },
numpages = 5,
url = { /proceedings/icwet2013/number1/11332-1348/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology 2013
%A Harshali Patil
%A Seema Purohit
%T Cognitive Radio: An intelligent Device for Dynamic Spectrum Access (DSA) and Radio Resource Management (RRM)
%J International Conference and Workshop on Emerging Trends in Technology 2013
%@ 0975-8887
%V ICWET2013
%N 1
%P 31-35
%D 2013
%I International Journal of Computer Applications
Abstract

Radio spectrum is a scarce and non-reproducible natural resource hence spectrum management policies play a vital role in ensuring the efficient use of spectrum. Optimum usage of radio resources will be done by sharing these resources among various radio services. Last two decade has seen a tremendous growth in Indian telecommunications because of effective policies launched by governing body and effort of entrepreneurs. As the growth is fast the spectrum access demands are increased enormously. The increasing demand of spectrum imposes spectrum management policies as well as various issues in management of telecommunication domain. As radio resource is limited; the resource needs must be efficiently shared and reused by a number of users who may be simultaneously accessing a variety of mobile services. This paper investigates the cognitive radio resource management using game theory. Cooperative game theory provides the shared radio resources fairly among multiple non cooperative cognitive radio networks to optimize overall performance.

References
  1. http://spectrum. ieee. org/telecom/wireless/the-end-of-spectrum-scarcity
  2. VáclavValenta, Roman Maršálek," Survey on Spectrum Utilization in Europe: Measurements, Analyses and Observations", "5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, Cannes : France (2010)"
  3. Cabric, D. , Mishra, S. M. , Brodersen, R. W. ," Implementation issues in spectrum sensing for cognitive radios", IEEE Xplore, Print ISBN: 0-7803-8622-1
  4. Weiss, T. A. , Jondral, F. K. , "Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency", Communications Magazine, IEEE.
  5. Wikipedia, Cognitive Radio
  6. Jiang Xie, Ivan Howitt, and Anita Raja, "Cognitive Radio Resource Management Using Multi-Agent Systems", US National Science Foundation (NSF) under Grant No. CNS-0626980.
  7. J. Mitola, "Cognitive radio: An integrated agent architecture for software defined radio," Doctor of Technology, Royal Inst. Technol. (KTH), Stockholm, Sweden, 2000
  8. Federal Communications Commission, " Spectrum Policy Task Force ," Rep. ET Docket no. 02-135, Nov. 2002.
  9. FredriechJondal, "Cognitive Radio for dynamic spectrum access-vision meets reality ", LStelcom summit, July2012
  10. Simon Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications", IEEE Journal on selected areas of communications, Vol. 23, N0. 2, Feb 2005
  11. Proc. 1st IEEE Int'l. Symp. " New Frontiers in Dynamic Spectrum Access Networks", Nov. 2005
  12. Stefan Geirhofer, Lang Tong , Brian M. Sadler "Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space", IEEE Communications Magazine, May 2007
  13. Qing Zhao, Brian M. Sadler, "A Survey of Dynamic Spectrum Access", IEEE Signal Processing Magazine, May 2007
  14. James O'Daniell Neel, "Analysis and Design of Cognitive Radio Networks and Distributed Radio Resource Management Algorithms", PhD Dissertation, Virginia Polytechnic Institute and State University
  15. James Neel, "How des game theory apply to radio resource management?", Research work, Virginia Tech Doctoral Program
  16. Osborne, Martin J. , A. Rubinstein. A Course in Game Theory. Cambridge, MA: MIT, 1994
  17. Ji. Z, and Liu K. ," Cognitive radios for dynamic spectrum access – Dynamic Spectrum Sharing : A Game theoretical overview", Communications magazine, IEEE vol. 45, No. 5, May 2007, pp. 88-94
  18. N. Golmie, N. Chevrollier, and O. Rebala, "Bluetooth and WLAN Coexistence: Challenges and Solutions," IEEE Trans. Wireless Commun. , vol. 10, no. 6, Dec. 2003, pp. 22–29.
  19. BassemZayen and AawatifHayar, "Primary Outage-Based Resource Allocation Strategies", Chapter book in "Cognitive Radio Systems", InTech, January, 2012, Ed. Samuel Cheng, ISBN 978-953-308-70-9.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Radio Spectrum Management Dynamic Spectrum Access Radio Resource Management Game Theory