Mapping of Secondary Virtual Networks onto Wireless Substrate based on Cognitive Radio: multi-objective formulation and analysis

TL;DR

This paper introduces a multi-objective approach for mapping secondary virtual networks onto wireless substrates using cognitive radio, addressing resource sharing and spectrum opportunism in dense wireless environments.

Contribution

It is the first to propose a cognitive radio virtual network environment and formulate the SVN mapping problem with a multi-objective model, including metric analysis for resource optimization.

Findings

Multi-objective formulation of SVN mapping problem.

Analysis of key metrics for resource sharing.

Insights into designing mapping schemes for cognitive radio networks.

Abstract

There is a growing demand for wireless services with different requirements in a dense and heterogeneous wireless environment. Handling this complex ecosystem is becoming a challenging issue, and wireless virtualization emerges as an efficient solution. Although the inclusion of virtualization in wireless networks ensures a better use of resources, current approaches adopted for wireless virtualization can cause an underutilization of resources, since the resource allocated to a virtual wireless network is not shared with other one. This problem can be overcome by combining wireless virtualization with the cognitive radio (CR) technology and dynamic access spectrum (DSA) techniques. Thus, virtual wireless networks with different access priorities to resources (e.g., primary and secondary) can be deployed in an overlay form and share the same substrate wireless network, where the secondary networks use the resources opportunistically. However, challenges emerge in this new scenario, ranging from the mapping to the operation of these networks. This paper is the first to propose the cognitive radio virtual network environment and to formulate the problem of mapping the secondary virtual networks (SVNs) onto the wireless substrate network based on CR. To this end, a multi-objective formulation is designed. Moreover, an analysis of the metrics defined in the problem is performed in order to give the reader useful assistance in designing schemes to solve the problem of mapping SVNs onto substrate networks.