CCRA: channel criticality based resource allocation in cognitive radio networks

Abstract

In cognitive radio networks, signal to interference plus noise ratio (SINR) is a quantity that is used to analyze the bounds of the capacity of a channel. This is the reason for SINR being one of the important parameters toward evaluating the performance of spectrum sharing in every network. To maximize the channel utilization in any network, the SINR of a channel should be considered to be within a threshold. This also leads to lesser power consumption, and the quality of service for the licensed users is maintained. Further, reduced SINR leads to an improvement in the quality of communication in the network. In this paper, a graph theoretic measure for the efficient utilization of channels in cognitive radio networks has been proposed and is named as channel criticality based resource allocation (CCRA). Using the SINR as the weight of the graph, a novel concept of channel criticality has also been introduced in this work. The proposed CCRA technique has also been compared with the existing interference aware channel assignment (IACA) technique in terms of the channel utilization. Through simulations, the CCRA has been observed to outperform the IACA scheme. The average channel utilization of the proposed CCRA was observed to have increased by 8%, when the secondary users were introduced in the network as compared with the IACA technique. Copyright Int. J. Commun. Syst. 2017; 30: e3012 V. KUMAR AND S. MINZThe betweenness of the link k for the source and destination pair .a; b/ is given by of 12 6

Distributed opportunistic spectrum sharing in cognitive radio networks

“…Such systems utilize various complex optimization techniques running at a central node to attempt an optimal distribution of the spectrum among the cognitive BSs. Such techniques include visualizing the network as a graph and then using graph theory to resolve conflicts between base stations (vertices) . Another approach is game theory, where the system is modeled as a centralized game with cognitive BSs being the players .…”

Channel Allocation in Cognitive Radio Networks using Evolutionary Technique

“…From the aforementioned study, it is observed that the SINR/interference of a channel is one of the important parameters toward channel allocation in CRNs. For better communication, the channel utilization and SINR are to be maximized according to (Xiao et al, 2012;Kumar and Minz, 2015). To overcome the limitations of the schemes discussed earlier in (Jiang et al, 2013;Bayhan and Alagöz, 2014;Jalali et al, 2015;Gelabert et al, 2010;Bedeer et al, 2014;Qin et al, 2009;Suliman et al, 2009;Wen et al, 2012;Wang et al, 2009;Mahdi et al, 2012) and for better utilization of channels, the authors of the work proposed in this paper were motivated to design a Multi Objective based channel allocation scheme in cognitive radio networks.…”