Layer Functionality in Spectrum Management

Maninder Kaur*
Assistant Professor, Department of Physics, D.A.V College, Amritsar, India.
Periodicity:October - December'2015
DOI : https://doi.org/10.26634/jwcn.4.3.4844

Abstract

Radio Communication Networks rely on the radio frequency spectra which are the set of frequencies ranging from3 KHz to 300 GHz. With increasing demand for wireless communication, this radio frequency spectra has become an expensive commodity. Thus, the efficient use the spectrum resources have become an essential issue. The alternative to inefficient fixed spectrum allocation is the sharing of the spectra amongst the licensed and unlicensed users. Cognitive radio, which is a form of wireless communication is the key technology which provides the best solution by allowing a group of secondary users to share the radio spectrum originally allocated to the primary users. This sharing of the spectrum is termed as Dynamic Spectrum Access (DSA) or Dynamic Spectrum Allocation. The major components of the DSA are the spectrum sensing, spectrum decision, spectrum sharing and spectrum mobility.Management of these tasks collectively is termed as spectrum management. These tasks are handled with the assistance of different layers of the OSI model namely, physical layer, link layer, network layer, transport layer and application layer. This paper reviews the role of different layers of the OSI model in the working of a cognitive radio leading to spectrum management.

Keywords

Cognitive Radio, Software Defined Radio, SpectrumManagement, Physical Layer, Link Layer.

How to Cite this Article?

Kaur , M. (2015). Layer Functionality in Spectrum Management. i-manager's Journal on Wireless Communication Networks, 4(3), 1-7. https://doi.org/10.26634/jwcn.4.3.4844

References

[1]. Gerald R. Faulhaber, (2008). “Deploying Cognitive Radio: Economic, Legal, Policy Issues”. International Journal of Communication, Vol . 2, pp. 1114-1124.
[2]. Mitola, J. et al., (1999). “Cognitive Radios: Making Software Radios More Personal ”. IEEE Personal Communications, Vol. 6, No. 4.
[3]. Mitola, J. et al., (2000). “Cognitive Radios: An integrated agent architecture for software defined radio”. PhD Dissertation, Royal Ins. Technol. (KTH), Stockholm, Sweden.
[4]. Haykin, S., (2005). “Cognitive radio: Brain-Empowered Wireless communications”. In IEEE JSAC, Vol. 23, No. 2.
[5]. Maldonado, D., Bin Le, et al., (2005). “Cognitive radio application to dynamic spectrum allocation: a discussion and an illustrative example”. DySPAN, pp. 597-600.
[6]. Evans,J., Kansas,U., et al., (2006). “Technical Document on Cognitive Radio Networks”.
[7]. Fredric Pujol, (2007). “Regulatory and Policy Implications of Emerging Technologies to Spectrum management”. ITU Workshop, Geneva, pp. 22-23.
[8]. Chen Hsiao-Hwa and Guizani Mohsen, (2006). Next Generation Wireless Systems and Networks. John Wiley and Sons Ltd.
[9]. Fette, B. A., (2006). Cognitive Radio Technology. Elsevier, London.
[10]. Wyglinski, A. M., Nekovee, M.and Y. Thomas, (2010). Cognitive Radio Communications and Networks Principles and Practice. Elsevier, London.
[11]. Chen K.C.and Prasad R, (2009). Cognitive Radio Networks. Wiley.
[12]. Unnikrishnan J. and Veeravalli V.V., (2008). “Cooperative sensing for primary detection in cognitive radio”. IEEE Journal of Selected Topics in Signal Processing, Vol. 2, No. 1, pp. 18-27.
[13]. Li Z., Yu F. and Huang M., (2008). ”A cooperative spectrum sensing consensus scheme in cognitive radio”. Proc of IEEE infocom 2009, pp. 2546-2550.
[14]. Ganesan G. and LI Y.G., (2007). ”Cooperative spectrum sensing in cognitive radio- part 1: Two user networks”. IEEE Transaction on Wireless Communication, Vol. 6, No. 6. pp.2204-2213.
[15]. Ganesan G. and Li Y.G., (2007). “Cooperative spectrum sensing in cognitive radio- part II: Multiuser networks”. IEEE Transaction on wireless communication, Vol. 6, No.6, pp. 2214-2222.
[16]. Zhang W. and Letaief K., (2008). “Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks”. IEEE Transaction on Wireless Communication, Vol. 7, Vol. 12, pp. 4761-4766.
[17]. F. A. Ian and Lee, W.Y., (2008). “A Survey on Spectrum Management in CRNs”. IEEE Communications Magazine, pp . 40-48 .
[18]. F. A. Ian , Lee, W.Y. and Chowdhury K. R., (2009). “Cognitive radio adhoc networks”. Ad Hoc Networks, Vol. 7 , pp. 810-836.
[19]. Raman, C., Yates, R. and Mandayam, N., (2005). “Scheduling Variable Rate Links via a Spectrum Server”. in Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 110–118.
[20]. Ileri, O., Samardzija, D. and Mandayam, N., (2005). “Demand Responsive Pricing and Competitive Spectrum Allocation via a Spectrum Server”. in Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks,
[21]. Chung, S., Kim, S., Lee, J. and Cioffi, J., (2003). “A game-theoretic approach to power allocation in frequency-selective Gaussian interference channels”. in Proc. IEEE International Symposium on Information Theory, pp. 316–316.
[22]. Daoud A.A., Alanyali M. and Starobinski D., (2007). “Secondary pricing of spectrum in cellular CDMA networks”. Proceedings of the IEEE DySPAN 2007, Dublin, Ireland pp. 535–542.
[23]. Chou C., Shankar S., Kim H. and Shin K.G., (2007). “What and how much to gain by spectrum agility?”. IEEE Journal on Selected Areas in Communications, Vol. 25, No. 3, pp 576–58.
[24]. Kim H. and Shin K.G., (2008). “Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks”. IEEE Transactions on Mobile Computing, Vol. 7, No. 5, pp. 533–545.
[25]. Kim H. and Shin K.G., (2008). “Fast discovery of spectrum opportunities in cognitive radio networks”. Proceedings of the IEEE DySPAN 2008, Chicago, IL, USA.
[26]. Lee W.Y. and Lakyildiz F., (2008). “Optimal spectrum sensing framework for cognitive radio networks”. IEEE Transactions on Wireless Communications, Vol. 7, No. 10, pp. 3845–3857.
[27]. Zhao Q., Tong L., Swami A. and Chen Y., (2007). “Decentrallized cognitive MAC opportunistic spectrum access in ad hoc networks: A POMDP Framework”. IEEE Journal on Selected Areas in Communications, Vol. 25, No. 3, pp. 589–600.
[28]. Geirhofer S., Tong L. and Sadler B.M., (2007). “Dynamic spectrum access in the time domain: modeling and exploiting white space”. IEEE Communications Magazine, Vol. 45, No. 5, pp. 66–72.
[29]. Willkomm D., Machiraju S., Bolot J. and Wolisz A., (2008). “Primary users in cellular networks: a large-scale measurement study”. Proceedings of the IEEE DySPAN 2008, Chicago, IL, USA.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.