Open Access
Subscription Access
Realisation of Cognitive Radio:Issues and Challenges
For last two decades, the demand for wireless spectrum has been increasing rapidly with tremendous developments in the telecom industry. There also has been huge growth in flow of multimedia traffic over the last decade. Thus, the demand for additional bandwidth is increasing exponentially despite the fact that the electromagnetic spectrum is a finite resource. On the other hand, spectrum occupancy is found to be quiet low in most of the allocated bands. Thus, the under-utilization of the precious spectrum is unaffordable if persistent growth of new and existing wireless services are to be sustained. Cognitive radio (CR) is a future technology initiated by many research organizations and academic institutions to increase the spectrum utilization of underutilized spectrum channels to ameliorate scarcity problem of valuable electromagnetic spectrum. There exists number of issues and challenges in designing and implementation of the cognitive radio. These issues need to be rigorously resolved before a cognitive radio is realised.
Keywords
Cognitive Radio, Spectrum Sensing, Spectrum Management, Spectrum Mobility, Spectrum Sharing, Primary User, Secondary User.
User
Font Size
Information
- Cisco. Scaling the mobile internet. White Paper, 2009.
- Federal Communications Commission (FCC), Notice of proposed rulemaking and order No. 03-222 , Dec. 2003.
- S. S. C. Spectrum occupancy measurements, SSC. 1595 Spring Hill Rd, Suite 110, Vienna, VA 22182, USA, Tech Rep., 2005.[Online] http://www.sharedspectrum.com/
- Mc Henry M. A., Tenhule P. A., McCloskey D., Roberson D. A. and Hood C. S.Chicago spectrum occupancy measurements and analysis and a long term studies proposal. 1stInternational Workshop on Technology and Policy for Accessing Spectrum (TAPAS’ 06), New York, USA (ACM), 2006.
- Lopez-Benitez M., Umbert A. and Casadevall F.Evaluation of spectrum occupancy in Spain for cognitive radio applications.IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), Apr. 2009, 1-5.
- Islam M.H., Tan G. L., Chin F. et.al. Spectrum survey in Singapore: Occupancy measurements and analyses. 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), May 2008, 1–7.
- Wellens M., Wu J. and Mahonen P. Evaluation of spectrum occupancy in indoor and outdoor scenario in the context of cognitive radio.2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), Aug 2007, 420-7.
- Harrold T. J., Cepeda R. A., and Beach M. A. Long-term measurements of spectrum occupancy characteristics. IEEE International Symposium on Dynamic Spectrum Access Networks(DySpan),Aachen, Germany, May 2011, 83-9.
- Chiang R. I. C., Rowe G. B. and Sowerby K. W. A quantitative analysis of spectral occupancy measurements for cognitive radio. IEEE 65thVehicular Technology Conference (VTC), Dublin, Ireland, 2007, 3016-20.
- Mehdawi M., Riley N., Paulson K., Fanan A.and Ammar M. Spectrum occupancy survey in Hull-UK for cognitive radio applications: Measurement and analysis.International Journalof Scientific and Technology Research, 2013, 2(4):231-6.
- Patil K., Prasad R and Skouby K. A survey of worldwide spectrum occupancy measurements campaigns for cognitive radio. International Conference on Devices and Communication (ICDecom), 2011, 1-5.
- Ileri O., Samardzija D., and Mandayam N. B. Dynamic property rights spectrum access: Flexible ownership based spectrum management. 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), Dublin, Ireland, April 2007,254-65.
- Kim H., HyonT., and Lee Y. Priority and negotiation based dynamic spectrum allocation scheme for multiple radio access network operators. IEICE Transactions on Communications, 2010, E91-B(7): 2393-6.
- Akyildiz I. F., Lee W.-Y., Vuran M. C. and Mohanty S.Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey.Computer Networks (Elsevier), 2006, 50: 2127–59.
- Mitola J. Cognitive radio: an integrated agent architecture for software definedradio. Ph. D. Dissertation: Royal Institute of Technology (KTH), Stockholm, Swedan, 2000.
- Telecom Spectrum Allocation in India, Article. [Online]http://www.indiatelecomonline.com
- Khalid L and Anpalagan A. Emerging cognitive radio technology: principles,challenges and opportunities. Computers and Electrical Engineering (Elsevier), 2010, 36 (2): 358-66.
- Akyildiz I. F., Lee W.-Y., Vuran M. C and Mohanty S.A survey on spectrum management in cognitive radio networks.IEEE Communications Magazine, 2008, 46(4): 40-8.
- Arslan H.Cognitive Radio,Software defined Radio, and Adaptive Wirelessm Systems. Netherlands, Springer, 2007.
- Tandra R. and Sahai A. Some fundamental limits on detection in low SNR under noise uncertainty. IEEE International Conference on Wireless Networks, Communications and Mobile Computing, 2005, Vol. 1, 464-9.
- Digham F., Alouini M. and Simon M. On the energy detection of unknown signals over fading channels. IEEE International Conference on Communications, 2003,Vol. 5: 3575-9.
- Cabric D., Mishra S.M. and Brodersen R.W. Implementation issues in spectrum sensing for cognitive radio. 38th Asilomar Conference on Signals, Systems and Computers, 2004, Vol. 1: 772-6.
- Cabric D. and Brodersen R. W. Physical layer design issues unique to cognitive radio systems. 16th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications,2005, Vol. 2: 759-63.
- Tang H. Some physical layer issues of wide-band cognitive radio system. IEEE 1st International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005, 151-9.
- Ghasemi A. and Sousa E. S. Collaborative spectrum sensing for opportunistic access in fading environment. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005,131-6.
- Ganesan G. and Li Y. Cooperative spectrum sensing in cognitive radio networks. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005, 137-43.
- Haykin S. Cognitive radio: Brain empowered wireless communications. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-20.
- Kanodia V., Sabharwal A. and Knightly. MOAR: A multichannel opportunistic auto-rate media access protocol for ad-hoc networks. 1st IEEE International Conference on Broadband Networks, 2004, 600-10.
- Fu X., Zhou W., Xu J. and Song J. Extended mobility management challenges over cellular networks combined with cognitive radio by using multi-hop network. International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/distributed Computing, 2007, Vol. 2: 683-8.
- Liu H.-J., Wang Z.-X., Li S.-F.and Yi M.Study on the performance of spectrum mobility in cognitive wireless network. 11th IEEE International Conference on Communication Systems (ICCS), 2008, 1010-4.
- Peng C., Zheng H. and Zhao B. Utilization and fairness in spectrum assignment for opportunistic spectrum access. ACM Mobile Networks Applications, 2006, 555-76.
- Cao L. and Zheng H. Distributed spectrum allocation via local bargaining. 2nd IEEE Conference on Sensor and Ad Hoc Communications and Networks (SECON), 2005, 475-86.
- Huang J., Berry R. A. and Honig M. L. Spectrum sharing with distributed interference compensation. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005, 88-93.
- Sankaranarayanan S., Papadimitratos P., Mishra A. and Hershey S. A bandwidth sharing approach to improve licensed spectrum utilization. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005, 279-88.
- Zhao J., Zheng H. and Yang G.-H. Distributed coordination in dynamic spectrum allocation networks. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005, 259-68.
- Zhao Q.,Tong L. and Swami A. Decentralized cognitive MAC for dynamic spectrum access.IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005, 224-32.
- Brik V., Rozner E., Banarjee S. and Bahl P. DSAP: A protocol for coordinated spectrum access. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN), 2005, 611-4.
- Federal Communications Commission. FCC first report and order: revision of Part 15 of the commission’s rules regarding ultra-wideband transmission systems.report ET Docket No. 98–153, 2002.
Abstract Views: 266
PDF Views: 0