Abstract
Energy-efficient cognitive radio network has received considerable attention recently because of improving spectrum and energy efficiency. In light of such observations, we present a model for cognitive radio network based on stochastic geometry theory where transmitters and receivers are distributed according to Poisson point process. In this paper, we focus on the optimization problem where energy efficiency is maximized under the constraint of outage probability for primary network and secondary network. We show that the energy efficiency is increased with the increment of threshold for primary network. However, the energy efficiency is maximum for a certain value of threshold in secondary network.
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
Notes
- 1.
cognitive radio and secondary user are used interchangeably.
References
Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)
Ogbodo, E.U., Dorrell, D., Abu-Mahfouz, A.M.: Cognitive radio based sensor network in smart grid: architectures, applications and communication technologies. IEEE Access 5, 19084–19098 (2017)
Gorcin, A., Arslan, H.: Public safety and emergency case communications: opportunities from the aspect of cognitive radio. In: IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 1–10 (2008)
Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., Mohanty, S.: A survey on spectrum management in cognitive radio networks. IEEE Commun. Mag. 46(4), 40–48 (2008)
Chávez-Santiago, R., Nolan, K.E., Holland, O., De Nardis, L., Ferro, J.M., Barroca, N., Borges, L.M., Velez, F.J., Goncalves, V., Balasingham, I.: Cognitive radio for medical body area networks using ultra wideband, IEEE Wirel. Commun. 19(4) (2012)
Guo, A., Haenggi, M.: Spatial stochastic models and metrics for the structure of base stations in cellular networks. IEEE Trans. Wireless Commun. 12(11), 5800–5812 (2013)
Han, C., Harrold, T., Armour, S., Krikidis, I., Videv, S., Grant, P.M., Haas, H., Thompson, J.S., Ku, I., Wang, C.-X., Le, T.A., Nakhai, M.R., Zhang, J., Hanzo, L.: Green radio: radio techniques to enable energy-efficient wireless networks. IEEE Commun. Mag. 49(6), 46–54 (2011)
Fehske, A., Fettweis, G., Malmodin, J., Biczok, G.: The global footprint of mobile communications: the ecological and economic perspective. IEEE Commun. Mag. 49(8), 46–54 (2011)
ElSawy, H., Hossain, E., Haenggi, M.: Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: a survey. IEEE Commun. Surv. Tutor. 15(3), 996–1019 (2013)
Lee, C.-H., Haenggi, M.: Interference and outage in poisson cognitive networks. IEEE Trans. Wireless Commun. 11(4), 1392–1401 (2012)
ElSawy, H., Hossain, E.: Two-tier HetNets with cognitive femtocells: downlink performance modeling and analysis in a multichannel environment. IEEE Trans. Mob. Comput. 13(3), 649–663 (2014)
Sabuj, S.R., Hamamura, M.: Random cognitive radio network performance in Rayleigh-lognormal environment. In: 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 992–997 (2017)
Sabuj, S.R., Hamamura, M.: Energy efficiency analysis of cognitive radio network using stochastic geometry. In: IEEE Conference on Standards for Communications and Networking (CSCN), pp. 245–251 (2015)
Sabuj, S.R., Hamamura, M.: Outage and energy-efficiency analysis of cognitive radio networks: a stochastic approach to transmit antenna selection, Pervasive and Mob. Comput. 42, 444–469 (2017)
Xin, Y., Wang, D., Li, J., Zhu, H., Wang, J., You, X.: Area spectral efficiency and area energy efficiency of massive MIMO cellular systems. IEEE Trans. Veh. Technol. 65(5), 3243–3254 (2016)
Television station, December 2017. https://en.wikipedia.org/wiki/Television_station
Optimization toolbox, December 2017. https://www.mathworks.com/products/optimization.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Sabuj, S.R., Hossain, M.A., Lai, E. (2018). Energy-Efficiency Maximisation in Random Cognitive Radio Networks. In: Chong, P., Seet, BC., Chai, M., Rehman, S. (eds) Smart Grid and Innovative Frontiers in Telecommunications. SmartGIFT 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 245. Springer, Cham. https://doi.org/10.1007/978-3-319-94965-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-94965-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94964-2
Online ISBN: 978-3-319-94965-9
eBook Packages: Computer ScienceComputer Science (R0)