Network Selection Techniques Using Multiple-Criteria Decision-Making for Heterogeneous Cognitive Radio Networks with Use
It is a vision that in next-generation cognitive radio networks deployment, there will be different heterogeneous cognitive radio networks with no overlapping spectrum pool owned by different network operators. These heterogeneous cognitive radio networks
- PDF / 450,866 Bytes
- 11 Pages / 439.37 x 666.142 pts Page_size
- 22 Downloads / 226 Views
Abstract It is a vision that in next-generation cognitive radio networks deployment, there will be different heterogeneous cognitive radio networks with no overlapping spectrum pool owned by different network operators. These heterogeneous cognitive radio networks may coexist together in the same coverage area. In such environment, cognitive radio may have multiple options to select different networks which may face different traffic conditioned generated by the primary user. Hence, the mobile subscriber with various interfaces will be in position to select the networks of their choice which are best fulfill for his needs. This paper shows the analysis of different network selection techniques in heterogeneous cognitive radio networks as multiple-criteria decision-making. Three main multiple-criteria decision algorithms compared with inputs are taken from the user as per requirement of the user. The main parameter for comparison is the user satisfaction achieved by that algorithm. Every algorithm is simulated for the given scenario and their performance is compared on the basis of the above-specified parameter. Keywords Network selection
Cognitive radio network User satisfaction index
1 Introduction The current trend in wireless communication networks has hoisted the requirement of more frequency bands. Presently, the wireless networks are limited by static spectrum allocation scheme, which is being controlled by the authorized government bodies. The current static spectrum allocation scheme used by the authorized K. Kumar (&) M. S. Gupta Electronics and Communication Engineering Department, National Institute of Technology, Hamirpur, India e-mail: [email protected] M. S. Gupta e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2019 A. K. Luhach et al. (eds.), Smart Computational Strategies: Theoretical and Practical Aspects, https://doi.org/10.1007/978-981-13-6295-8_18
215
216
K. Kumar and M. S. Gupta
government bodies is insufficient to accommodate the increasing requirement of the wireless networks. In fact, few assigned bands are less occupied like some part of TV UHF and VHF band also known as TV white space [1]. According to Federal Communication Commission (FCC), generally, assigned spectrum is partially utilized due to assignment of static frequency bands. This creates the large space between recent increased demand of more frequency bands and static spectrum allocation scheme. To combat this space, FCC has advised to practice the partially utilized spectrums and spectrum parts that are not being utilized are called white spaces and this is called as Dynamic Spectrum Access (DSA) [2, 3]. This creates the new direction for research in Cognitive Radio (CR) networks that is an emerging technology to realize DSA [4]. The active research is going on the selection of network in wireless heterogeneous networks. The wireless heterogeneous networks equipped with CRNs are referred to as Heterogeneous Cognitive Radio Networks (Het CRNs). Hence, Het CRNs faces multiple challenges such as th
Data Loading...
