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Quality of Service in Cognitive Radio Network:Issues and Challenges


Affiliations
1 College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
2 Department of Electronics, Gandhi Memorial College, Srinagar, J&K, India
 

Cognitive radio (CR) is a novel technology to resolve the issue of under-utilization of wireless spectrum. There exists number of challenges and issues in designing and implementation of the cognitive radio. Extending quality-of- service (QoS) enabled applications to CR network is even more difficult task due to non-availability of the dedicated allocation of idle spectrum. CR imposes peculiar and unique challenges to guarantee quality of service of diverse flows in contrast to other wireless networks. This paper identifies the issues and challenges of QoS provisioning in cognitive radio networks.

Keywords

Cognitive Radio, Quality of Service (QoS), Spectrum Management.
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  • Cisco. Scaling the mobile internet. White Paper, 2009.
  • Federal Communications Commission (FCC). Notice of proposed rulemaking and order No. 03-222. Dec. 2003.
  • Spectrum occupancy measurements (SSC). 1595 Spring Hill Rd, Suite 110, Vienna, VA 22182, USA, Tech Rep.. 2005.
  • McHenry M.A., Tenhule P.A., McCloskey D., Roberson D.A., Hood C.S. Chicago spectrum occupancy measurements and analysis and a long term studies proposal. Proceedings of 1st International Workshop on Technology and Policy for Accessing Spectrum (TAPAS’ 06) New York, USA (ACM), 2006.
  • Lopez-Benitez M., Umbert A., Casadevall F. Evaluation of spectrum occupancy in Spain for cognitive radio applications. Proceedings of IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 2009; 1-5.
  • Islam M.H., Koh C.L., Oh S.W., Qing X., Lai Y.Y., et al., Spectrum survey in Singapore: Occupancy measurements and analyses. Proceedings of 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), May 2008;1–7.
  • Wellens M., Wu J., Mahonen P. Evaluation of spectrum occupancy in indoor and outdoor scenario in the context of cognitive radio. Proceedings of 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), Aug 2007; 420-7.
  • Harrold T.J., Cepeda R.A., Beach M.A. Long-term measurements of spectrum occupancy characteristics. Proceedings of IEEE International Symposium on Dynamic Spectrum Access Networks (DySpan) Aachen, Germany, May 2011; 83-9.
  • Chiang R.I.C., Rowe G.B., Sowerby K.W. A quantitative analysis of spectral occupancy measurements for cognitive radio. Proceedings of IEEE 65th Vehicular Technology Conference (VTC), Dublin, Ireland, April 2007; 3016-20.
  • Mehdawi M., Riley N., Paulson K., Fanan A., Ammar M. Spectrum occupancy survey in Hull-UK for cognitive radio applications: Measurement and analysis. J. Scientific and Technology Research, April 2013; 2(4): 231-6.
  • Haykin S. Cognitive radio: Brain empowered wireless communications. IEEE Journal on Selected Areas in Communications, 2005; 23(2):201-20.
  • Federal Communication Commissi on (FCC). Unlicensed operation in TV broadcast bands. Notice for Proposed Rule Making, ET Docket No. 04-113, May 2004.
  • Arslan H. Cognitive radio, software defined radio, and adaptive wireless systems. Springer, 2007(e-book).
  • Fu X., Zhou W., Xu J., Song J. Extended mobility management challenges over cellular networks combined with cognitive radio by using multi-hop network. Proceedings of International Conference on Software Engineer ing, Ar tificial Intelligence, Networking, and Parallel/distr ibuted Computing, July 2007; 2:683-8.
  • Liu H. J., Wang Z. X., Li S. F., Yi M. Study on the performance of spectrum mobility in cognitive wireless network. Proceedings of 11th IEEE International Conference on Communication Systems (ICCS), 2008: 1010-4.
  • ITU-T Recommendations. Terms and definitions related to Quality of Service and network performance including dependability. ITU-T Recommendation E.800, August 1994.
  • ETSI. Network aspects (NA): general aspects of Quality of Service and network performance. ETSI Technical Report, ETR 003, 2nd Edition, October 1994.
  • ETSI. Satellite earth stations and systems, broadband satellite multimedia IP. IP Internet working over Satellite: Performance, Availability and Quality of Service, March 2003, ETSI Technical Report.
  • Hardy W. C. QoS measurement and evaluation of telecommunications Quality of Service. John Wiley and Sons, England, 2001.
  • Nguyen D., Tran L., Pirinen P., and Latvaaho M. On the spectral efficiency of full-duplex small cell wireless systems. IEEE Trans. Wireless Communication, Sept. 2014; 13(9): 4896-910.
  • Lu X., Wang P., Niyato D., Kim D.I., and Han Z. Wireless Networks with RF Energy Harvesting: A Contemporary Survey. IEEE Communications Surveys & Tutorials, May 2015; 17(2):757-89.
  • Hoang D.T., Niyato D., Wang P., and Kim D. I. Opportunistic Channel Access and RF Energy Harvesting in Cognitive Radio Networks. IEEE Trans. on Selected Areas in Communications, Nov. 2014; 32(11): 1-14.
  • Akyildiz I.F., Lee W.Y., Vuran M.C., Mohanty S. Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks (Elsevier), 2006; 50:2127–59.
  • Attar A., Ghorashi S. A., Sooriyabandara M. and Aghvami A.H. Challenges of real-time secondary usage of spectrum. Computer Networks (Elsevier), 2008; 52 (4): 816-30.
  • Boulogeorgos A.-A. A., Sofotasios P. C., Selim B., Muhaidat S., Karagiannidis G. K., and Valkama M. Effects of RF impairments in communications over cascaded fading channels. IEEE Transactions on Vehicular Technology, 2016; 65(11): 1-17.
  • Li B., Sun M., Li X., Nallanathan A., and Zhao C. Energy Detection based Spectrum Sensing for Cognitive Radios over Time-Frequency Doubly Selective Fading Channels. IEEE Transactions on signal processing, Jan. 2015; 63(2): 402-17.
  • Walke B. H. Mobile Radio Networks: Networking and protocols. 2nd Edition, 1999.
  • Garg K. Wireless Networks Evolution: 2G to 3G. Reprint 2003.
  • Liao Y., Wang T., Song L., Han Z. ListenandTalk: Protocol Design and Analysis for Full-duplex Cognitive Radio Networks. IEEE Trans. on Vehicular Technology, Jan. 2017; 66(1): 656-67.
  • Sharma S. K., Bogale T. E., Le L. B., Chatzinotas S., Wang X., Ottersten B. TwoPhase Concurrent Sensing and Transmission Scheme for Full Duplex Cognitive Radio. in Proc. IEEE VTC Spring, Sept. 2016.
  • Altrad O., Muhaidat S., Al-Dweik A. S., and Yoo P. Opportunistic spectrum access in cognitive radio networks under imperfect spectrum sensing. IEEE on Vehicular Technology, Feb. 2014; 63(2): 920–5.
  • Lee W. Y. and Akyildiz I. F. Optimal spectrum sensing framework for cognitive radio networks. IEEE Transactions on Wireless Communications, 2008; 7(10): 3845-57.
  • Qiao X., Tan Z. and Li J. Combined optimization of spectrum handoff and spectrum sensing for cognitive radio systems. 7th IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), 2011:1-4.
  • Ghasemi A. and Sousa E. S. Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs.IEEE Communications Magazine, April 2008; 46(4): 32-9.
  • Baroudi U. and Alfadhly A. Effects of mobility and primary appearance probability on spectrum handoff. 73rd IEEE Vehicular Technology Conference (VTC spring), 2011: 1-6.
  • Li P., Scalabrino N. and Fang Y. How to effectively use multiple channels in wireless mesh networks. IEEE Transactions on Parallel and Distributed Systems, 2009; 20(11): 1641-52.
  • Avallone S. and Stasi G. D. An experimental study of the channel switching cost in multichannel wireless mesh networks. IEEE Communications magazine, Sep. 2013; 51(9): 124-34.
  • Afifi W. and Krunz M. Incorporating selfinterference suppression for full-duplex operation in opportunistic spectrum access systems. IEEE Trans. Wireless Commun., Apr. 2015;14(4): 2180-91.
  • Rabbachin A., Quek T. Q. S., Shin H. and Win M. Z. Cognitive network interference. IEEE Journal on Selected Areas in Communications, 2011; 29(2): 480-93.
  • Xing Y. and Chandramouli R. QoS constrained secondary spectrum shar ing. IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Nov. 2005: 658-61.

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  • Quality of Service in Cognitive Radio Network:Issues and Challenges

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Authors

Nisar A. Lala
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
G. M. Mir
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
Altaf A. Balkhi
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
R. A. Simnani
Department of Electronics, Gandhi Memorial College, Srinagar, J&K, India

Abstract


Cognitive radio (CR) is a novel technology to resolve the issue of under-utilization of wireless spectrum. There exists number of challenges and issues in designing and implementation of the cognitive radio. Extending quality-of- service (QoS) enabled applications to CR network is even more difficult task due to non-availability of the dedicated allocation of idle spectrum. CR imposes peculiar and unique challenges to guarantee quality of service of diverse flows in contrast to other wireless networks. This paper identifies the issues and challenges of QoS provisioning in cognitive radio networks.

Keywords


Cognitive Radio, Quality of Service (QoS), Spectrum Management.

References