Abstract
The objective of CR Technology is to improve the spectrum efficiency of frequency band allocation among unlicensed users in the wireless environment. In Cognitive Radio Systems the parameters of carrier frequency, signal bandwidth, modulation and network access are based on observations of the spectrum white holes. Secondary users in order to get channel access, adjust their operational parameters and protocols dynamically and autonomously. Modulation and congestion techniques are two important variables used to increase the cognitive radio system performance. Digital modulation techniques reduce the bandwidth requirement per signal hence larger number of users or signals can be accommodated within the same available bandwidth. When load on a network exceeds its capacity then Congestion occurs. If there is more congestion in the network, it leads to the performance degradation. Controlling Congestion means using methods that either stop or decrease it even prior to its occurrence or removes it after its occurrence. In this paper a CRN has been analyzed, with three incumbents along with five secondary transmitters, for network delay and packets with error for three modulation techniques. Further the system has been tested for throughput and spectral efficiency for different congestion techniques. For designing and simulating this network, the software tool used is NetSim.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Fette, B.A.: Cognitive Radio Technology, 2nd edn. Elsevier Inc., New York (2009)
Berlemann, L., Mangold, S.: Cognitive Radio and Dynamic Spectrum Access. Wiley, Hoboken (2009)
Lai, L., Gamal, H.E., Jiang, H., Poor, H.V.: Cognitive medium access: exploration, exploitation and competition. IEEE Trans. Mob. Comput. 10(2), 239–253 (2011)
Aulakh, I.K., Vig, R.: Secondary user sensing time optimization in sensing-transmission scheduling for dynamic spectrum access in cognitive radio. J. Comput. Sci. 11(8), 880–891 (2015)
Aulakh, I.K., Vig, R.: Optimization of SU’s probability of false alarm for dynamic spectrum access in cognitive radio. In: International Conference on Computing for sustainable Global Development (IndiaCom), pp. 710–715 (2014)
Haykin, S.: Cognitive radio: brain empowered wireless communications. IEEE J. Sel. Area Commun. 23(2), 201–220 (2005)
Aulakh, I.K., Vig, R.: Secondary user transmission protection optimisation in sensing-transmission scheduling under varying channel noise in cognitive radio networks. Int. J. Syst. Control Commun 7(2), 97–115 (2016)
Aulakh, I.K., Vig, R.: Secondary user aggressiveness optimization in sensing-transmission scheduling for cognitive radio networks. J. Networks 10(10), 543–551 (2015)
Koshti, R., Jangalwa, M.: Performance Comparison of WRAN over AWGN & RICIAN channel using BPSK and QPSK Modulation with convolution coding. In: International Conference on Communication Systems and Network Technologies, pp. 124–126 (2013)
Acharya, S., Kabiraj, P., De, D.: Comparative analysis of different modulation techniques of LTE networks (2015)
Tetcos Engg. Comparison of TCP congestion control algorithm (2017)
Stevens, W.: TCP slow start congestion Avoidance, fast retransmit, and fast recovery algorithms. RFC 2001
Vijayakumaran, S.: Comparison of Modulation Schemes. IIT Bombay, pp. 1–10 (2015)
Saifuddin, K.M., Ahmed, A.S., Reza, K.F., Alam, S.S., Rahman, S.: Performance analysis of Cognitive Radio: NETSIM Viewpoint. In: International Conference on Electrical Information and Communication Technology (EICT), pp. 7–9 (2017)
Gupta, S., Viswanathan, P., Suman, S.: Performance Analysis of 802.22 Based Cognitive Radio Networks. Tetcos Engg., July 2015
Fong, B., Hong, G.Y., Fong, A.C.M.: A modulation scheme for broadband wireless access in high capacity networks. IEEE Trans. Consum. Electron. 48(3), 457–462 (2002)
Armi, N., Chaeriah, B.A.W., Suratman, F.Y., Wijaya, A.: Sensing time-based throughput performance in OFDM Cognitive Radio Systems. In: International Conference on Wireless and Telematics, pp. 88–91 (2017)
Kanti, J., Bagwari, A., Tomar, G.S.: Quality analysis of cognitive radio networks based on modulation techniques. In: International Conference on Computational Intelligence and Communication Networks, pp. 566–569 (2016)
Acknowledgement
“The research work is supported by Technical Education Quality Improvement Project III (TEQIP III) of MHRD, Government of India assisted by World Bank under Grant Number P154523 and sanctioned to UIET, Panjab University, Chandigarh (India)”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Aulakh, I.K., Kaur, N., Malhotra, M., Verma, A., Garg, R. (2019). Performance Analysis and Comparison of Modulation and Congestion Techniques in Cognitive Radio Networks. In: Luhach, A., Jat, D., Hawari, K., Gao, XZ., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2019. Communications in Computer and Information Science, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0111-1_19
Download citation
DOI: https://doi.org/10.1007/978-981-15-0111-1_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0110-4
Online ISBN: 978-981-15-0111-1
eBook Packages: Computer ScienceComputer Science (R0)