Abstract
The requirement for dominant data rate is rising since the multimedia operations are being famous; this requires elevated data rate and quality of service. Cognitive radio has lately been recommended as a valuable sample to resolve the spectrum’s lack in contemporary communication networks. The metric performances of cognitive radio networks, detection and efficient spectrum use are mandatory. Therefore, several techniques and methods are proposed by different forums and specialized researchers for a main challenge to quantify the sum of spectral efficiency of cognitive radio systems. Our study aims to optimize the overall spectral capacity of the system, which implies an optimization of the spectral efficiency sum of cognitive networks. This document shows the effects of a comparative research between communications of our orthogonal model by competition, and another communication of a simple orthogonal model between secondary users in terms of capacity in a spectrum pooling pattern. By permitting users to have access to the novel spectral ranges without giving up the license owners’ quality of service. Our results of analyzes and simulations highlight and prove the potentials of our orthogonal approach by competition. The latter has allowed us to increase the spectral capacity of the secondary users as well as the spectral efficiency of the network; these two factors play an essential and major role in the improvement of quality of service.
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References
Cognitive radio networks: a survey. In: Proceedings of IEEE International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology ICIEEIMT 2017. IEEE (2017)
Raut, R.D., Kulat, K.D.: SDR design for cognitive radio. IEEE (2011)
Wang, Y.: Lockheed Martin TSS. Cognitive Radio for Aeronautical Air-Ground Communications. IEEE (2010)
Salem, M.B., Ettabaâ, K.S., Bouhlel, M.S.: Anomaly detection in hyperspectral images based spatial spectral classification. In: 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), pp 166–170 (2016)
Glossner, J.: Special session on software defined radio (SDR) and cognitive radio (CR). In: Sandbridge Technologies. IEEE (2010)
Aissa, I., Frikha, M., Tabbane, S.: A dynamic power management procedure in cognitive radio. Tunisian High School of Communications. IEEE (2010)
Sinanovic, S., Serafimovski, N., Haas, H., Auer, G.: Optimum spectral efficiency of horizontally spectrum sharing 2-link system. Institute for Digital Communications School of Engineering and Electronics, The University of Edinburgh, UK. IEEE (2008)
Foukalas, F.: The performance gain of cognitive radio in adaptive modulation scheme. In: Wireless Engineering and Technology. SciRes (2010)
Benzarti, M., Abdella Ouf, Z.: Comparative study of frequency synchronization in SISO and MIMO-OFDM systems. In: 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), pp 197–203. IEEE (2016)
Devroye, N., Mitran, P., Tarokh, V.: Achievable rates in cognitive channels. IEEE Trans. IT 52(5), 1813–1827 (2006)
Haddad, M., Hayar, A.M., Debbah, M.: Spectral efficiency of cognitive radio systems. In: Mobile Communications Group, Institut Eurecom (2009)
Khan, F.A., Ratnarajah, T., Sellathurai, M.: Multiuser diversity analysis in spectrum sharing cognitive radio networks. In: 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), pp. 117–122. IEEE (2016)
Pasias, V., Karras, D.A., Papademetriou, R.C.: On novel efficient wireless access network design heuristic algorithms for QoS multiservice networks. In: 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), pp. 153–160. IEEE (2016)
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Farhi, H., Messai, A. (2020). Spectral Capacity in Cognitive Networks. In: Bouhlel, M., Rovetta, S. (eds) Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.2. SETIT 2018. Smart Innovation, Systems and Technologies, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-030-21009-0_41
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DOI: https://doi.org/10.1007/978-3-030-21009-0_41
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