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Reseach Article

Innovative Wireless Medium Control Algorithm for Wireless Devices in ISM Bands

by Tomas Cuzanauskas, Aurimas Anskaitis
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 6
Year of Publication: 2016
Authors: Tomas Cuzanauskas, Aurimas Anskaitis
10.5120/ijca2016910780

Tomas Cuzanauskas, Aurimas Anskaitis . Innovative Wireless Medium Control Algorithm for Wireless Devices in ISM Bands. International Journal of Computer Applications. 146, 6 ( Jul 2016), 1-5. DOI=10.5120/ijca2016910780

@article{ 10.5120/ijca2016910780,
author = { Tomas Cuzanauskas, Aurimas Anskaitis },
title = { Innovative Wireless Medium Control Algorithm for Wireless Devices in ISM Bands },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 6 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number6/25399-2016910780/ },
doi = { 10.5120/ijca2016910780 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:49:36.304055+05:30
%A Tomas Cuzanauskas
%A Aurimas Anskaitis
%T Innovative Wireless Medium Control Algorithm for Wireless Devices in ISM Bands
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 6
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Since the beginning of the IEEE 802.11 technology its channel access in ISM bands was governed by simple rules to ensure fairness and co-existence: such as upper ceiling on maximum transmitted power, moderate out-of-band emission masks and requirement for tolerance to interference. However, over time these rules became outdated and no longer well suited for current capabilities of devices operating in ISM bands. In this paper we propose a new channel access model for IEEE 802.11 and other devices using unlicensed ISM bands at 2.4 GHz and 5 GHz based on Game Theoretic principles and Cognitive Radio features. It is shown that the proposed channel access method can significantly improve the efficiency of spectrum usage, as well as the quality of service that is experienced by users of ISM bands. Moreover, it would allow abolishing constraint on maximum transmission power and making unnecessary the use of CSMA/CA protocol by replacing it by more advanced Multi-Polling with Game Theory (GT) based protocol.

References
  1. J. Scott Marcus, John Burns. 2013. Study on Impact of traffic off-loading and related technological trends on the demand for wireless broadband spectrum. Report for the European Commission, 2013. Available: http://dx.doi.org/10.2759/19531
  2. E. Haghani, M. Krishnan and A. Zakhor, “Adaptive Carrier Sensing for Throughput Improvement in IEEE 802.11 Networks”, Proceedings of the IEEE Globecom 2010, Dec 2010, pp. 1-6.
  3. Q. Shen, X. Fang, R. Huang, P. Li, and Y. Fang, “Improving Throughput by tuning carrier sensing in 802.11 wireless networks,” Journal Computer Communications, vol. 32 Issue 11, pp. 1263-1270, July 2009.
  4. P. Chatzimisios, A. Boucouvalas, and V. Vitsas, “Effectiveness of RTS/CTS handshake in 802.11a Wireless LANs,” IEEE 2004 Electronics Letters Online Available http://dx.doi.org/10.1049/el:20040510
  5. I. Tinnirello, D. Giustiniano, L. Scalia and G. Bianchi, “On the side-effects of proprietary solutions for fading and interference mitigation in IEEE 802.11b/g outdoor links,” Computer Networks Volume 53, Issue 2, pp 141-152, Feb 2009.
  6. A. Jardosh, K. Ramachandran, K. Almeroth and E. Belding-Royer, “Understanding Congestion in IEEE 802.11b Wireless Networks,” Proceedings of the 5th USENIX conference on Internet Measurement IMC, 2005, pp. 25-25.
  7. R. Chandra, R. Mahajan, T. Moscibroda, R. Raghavendra, and P. Bahl, “A case for adapting channel width in wireless networks,”. In ACM SIGCOMM Computer Communication Review, vol. 38, no. 4, pp. 135-146, August 2008.
  8. Gast and Matthew, 802.11 ac: A Survival Guide. O'Reilly Media, 2013.
  9. S. Pediaditaki, M. Marina, and D. Tyrode, “Traffic-aware channel width adaptation in long-distance 802.11 mesh networks,” in Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems ACM, October 2012, pp. 261-270.
  10. B. Wang, Y. Wu, and K. J. R. Liu, “Game theory for cognitive radio networks: an overview,” Computer Networks, The Int. J. of Computer and Telecommunications Networking, vol. 54, no. 14, pp. 2537-2561, 2010.
  11. R. Etkin, A. Parekh and D. Tse, “Spectrum sharing for unlicensed bands,” IEEE J. Select. Areas Comm., vol. 25, 2007, pp.517-528.
  12. Yin Zhiming and Xie. Jianying, “Joint power and rate allocation for the downlink in wireless CDMA data networks,” in Proceedings of 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communication, Beijing, 2003. Available http://dx.doi.org/10.1109/PIMRC.2003.1264287
  13. R. Kazemi, R. Vesilo, E. Dutkiewicz, and Liu. Ren Liu, “Dynamic power control in wireless body area networks using reinforcement learning with approximation,” in Proceedings of Personal Indoor and Mobile Radio Communications (PIMRC) IEEE 22nd International Symposium, Canada, September 2011. Available http://dx.doi.org/10.1109/PIMRC.2011.6139908
  14. Software for simulation of channel access and power control game. Available: http://www.cost-terra.org/our-publications
  15. Propagation data and prediction methods for the planning of indoor radio communication systems and the radio local area networks in the frequency range 900 MHz to 100 GHz, ITU-R Recommendation P.1238, ITU, Geneva, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Interference IEEE 802.11 Game theory MAC Cognitive Radio ISM band.