Abstract
The access efficiency of the radio spectrum can be improved by adopting dynamic spectrum management (DSM) to face the existing challenges in wireless communication, such as the ever-increasing spectrum demand and inefficient spectrum use. This work proposes a hybrid model for dynamic spectrum access in cognitive radio environments. The access type combines the benefits of opportunistic spectrum access (OSA) and concurrent spectrum access (CSA). The spectrum allocation problem is modeled as a non-cooperative game, each unlicensed user (secondary user (SU)) acting as a player to gain a channel for transmission. Nash equilibrium is adopted as the solution of this game model, in which, the licensed users (primary users (PUs)) have a higher priority than the SUs and are completely protected from any harmful interference. Results show that the proposed model can improve spectrum allocation efficiency, both in terms of minimizing the total generated interference and maximizing energy efficiency.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
“Gartner says the internet of things will transform the data center,” Gartner Inc. (2014). http://www.gartner.com/newsroom/id/2684616
Palattella, M.R., et al.: Internet of Things in the 5G era: enablers, architecture, and business models. IEEE J. Sel. Areas Commun. 34(3), 510–527 (2016)
Li, S., Xu, L.D., Zhao, S.: 5G Internet of Things: a survey. J. Ind. Inf. Integr. 10 (2018). Identification and quantification of key socio-economic data to support strategic planning for the introduction of 5G in Europe-SMART, 2014/0008. Technical report, European Union (2016)
Niu, Y., Li, Y., Jin, D., Su, L., Vasilakos, A.V.: A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges. Wireless Netw. 21(8), 2657–2676 (2015)
Arjoune, Y., Kaabouch, N.: ‘A comprehensive survey on spectrum sensing in cognitive radio networks: recent advances, new challenges, and future research directions.’ Sensors 19(1), 126 (2019)
FCC Spectrum Policy Task Force, “Report of the spectrum efficiency working group,” November 2002. http://www.fcc.gov/sptf/reports.html
Kolodzy, P., et al.: Next generation communications: Kickoff meeting. In: Proceedings of DARPA (2001)
Liang, Y.-C.: Dynamic Spectrum Management: From Cognitive Radio to Blockchain and Artificial Intelligence. Springer, Heidelberg (2020). https://doi.org/10.1007/978-981-15-0776-2
Filippou, M.C., Ropokis, G.A., Gesbert, D., Ratnarajah, T.: Performance analysis and optimization of hybrid MIMO Cognitive Radio systems. In: Proceedings of the IEEE International Conference on Communication Workshop (ICCW), London, UK, 8–12 June 2015, pp. 555–561 (2015)
Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)
Mitola Iii, J.: Cognitive radio for flexible mobile multimedia communications. Mob. Netw. Appl. 6(5), 435–441 (2001)
Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., et al.: A survey on spectrum management in cognitive radio networks. IEEE Commun. Mag. 46(4), 40–48 (2008)
Saber, M., El Rharras, A., Saadane, R., et al. : Artificial neural networks, support vector machine and energy detection for spectrum sensing based on real signals. Int. J. Commun. Netw. Inf. Secur. 11(1), 52–60 (2019)
El Rharras, A., El Moukhlis, S., Saadane, et al.: FPGA-based fully parallel PCA-ANN for spectrum sensing. Comput. Inf. Sci. 8(1), 108 (2015)
Saber, M., Elrharras, A., Saadane, R., et al.: Transmit-power and interference control algorithm in cognitive radio network based on non-cooperative game theory. In: The Proceedings of the Third International Conference on Smart City Applications, pp. 647–662. Springer, Cham (2019)
Rong, Z., Rappaport, T.S.: Wireless Communications: Principles and Practice, Solutions Manual. Prentice Hall (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mohammed, S., Chehri, A., Yassine, E.H., Rachid, S., Mohammed, W., Hatim, K.A. (2021). Hybrid OSA-CSA Model for an Efficient Dynamic Spectrum Access in Cognitive Radio Environments. In: Zimmermann, A., Howlett, R.J., Jain, L.C., Schmidt, R. (eds) Human Centred Intelligent Systems . KES-HCIS 2021. Smart Innovation, Systems and Technologies, vol 244. Springer, Singapore. https://doi.org/10.1007/978-981-16-3264-8_13
Download citation
DOI: https://doi.org/10.1007/978-981-16-3264-8_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3263-1
Online ISBN: 978-981-16-3264-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)