Abstract
The rapid proliferation of mobile wireless devices, astronomical data traffic transmission and development of multifarious technologies has resulted in huge demand for usable radio spectrum bands. Allocation of new spectrum bands and maximizing the usage of currently allocated radio spectrum bands have become of vital importance in emerging mobile computing networks. This chapter highlights the importance and issues of radio spectrum in mobile computing networks and also presents cognitive functionalities as an appropriate solution to cope with the scarcity of usable radio spectrum in emerging cognitive mobile computing networks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Marques, P., Rodrigez, J., Delaere, S., Delahaye, P., Lecroart, B., Gundlach, M., Triantafyllopoulou, D., Moessner, K., Noguet, D.: Spectrum Sharing in the EU and the Path Towards Standardization. In: Future Networks & MobileSummit (2013)
Mitola III, J.: Cognitive radio: An integrated agent architecture for software defined radio, KTH Royal Institue of Technology (2000)
Cisco, Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012–2017 (2013)
Wireless Operations in the 3650-3700 MHz Band, Federal Communications Commission, Report 2007 (2007)
Wireless Technology & Spectrum Working Group, Optimising use of available mobile radio spectrum, Wireless Technology & Spectrum Working Group, Digial Communications Knowledgw transfer Network, London (2009)
Real wireless, Study on the future UK spectrum demand for terrestrial mobile broadband applications (June 2013)
Peha, J.M.: Sharing Spectrum Through Spectrum Policy Reform and Cognitive Radio. Proceedings of the IEEE 97(4), 708–719 (2009)
Enabling UK growth –Releasing public spectrum Making 500 MHz of spectrum available by 2020. Department for culture media and sport (2011)
Chung, Y.-U., Lee, H., Park, S.: Performance Comparison of Handoff Modes in Terms of Energy. In: Kim, T.-h., Lee, Y.-h., Kang, B.-H., Ślęzak, D. (eds.) FGIT 2010. LNCS, vol. 6485, pp. 154–163. Springer, Heidelberg (2010)
Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., Mohant, S.: A Survey on Spectrum Management in Cognitive Radio Network. IEEE Communications Magazine (April 2008)
Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., Mohanty, S.: NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks 50, 2127–2159 (2006)
Christian, I., Moh, S., Chung, I., Lee, J.: Spectrum Mobility in Cognitive Radio Networks. IEEE Communications Magazine (June 2012)
David, K., Dixit, S., Jefferies, N.: 2020 Vision, IEEE Vehicular Magazine, 22–29 (September 2010)
Gür, G., Alagöz, F.: Green wireless communications via cognitive dimension: An overview. IEEE Network 25(2), 50–56 (2011)
Nedevschi, S., Popa, L., Iannaccone, G., Ratnasamy, S., Wetherall, D.: Reducing network energy consumption via slee** and rate-adaptation. In: NSDI 2008: Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, Berkeley, pp. 323–336 (2008)
Grace, D., Chen, J., Jiang, T., Mitchell, P.D.: Using Cognitive Radio to Deliver Green’ Communications. In: 4th International Conference on Crowncom (2009)
Oto, M.C., Akan, O.B.: Energy-Efficient Packet Size Optimization for Cognitive Radio Sensor Networks. IEEE Transaction on Wireless Communications 11(4), 1544–1553 (2012)
Lee, W.-Y., Akyildiz, I.F.: Optimal Spectrum Sensing Framework for Cognitive Radio Networks. IEEE Transaction on Wireless Communications 7(10), 3845–3857 (2008)
Yi, L., Shengli, X., Yan, Z., Rong, Y., Victor, C.M.L.: Energy-Effecient Spectrum Discovery for Cognitive Radio Green Networks. Mobile Network Application 17, 64–74 (2012)
Hui, L., Kin, K.L., Ming, Y.: A dynamic radio resource management technique for multiple APs in WLAN. IEEE Transaction on Wireless Communications (September 2005)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Pirmoradian, M., Adigun, O., Politis, C. (2014). Radio Spectrum Issues and Cognitive Mobile Computing. In: Resource Management in Mobile Computing Environments. Modeling and Optimization in Science and Technologies, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-06704-9_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-06704-9_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06703-2
Online ISBN: 978-3-319-06704-9
eBook Packages: EngineeringEngineering (R0)