Resource allocation in heterogeneous cooperative cognitive radio networks

Abstract

In cognitive radio networks (CRNs), resources available for use are usually very limited. This is generally because of the tight constraints by which the CRN operate. Of all the constraints, the most critical one is the level of permissible interference to the primary users. Attempts to mitigate the limiting effects of this constraint, thus achieving higher productivity, are a current research focus, and in this work cooperative diversity is investigated as a promising solution. Cooperative diversity has the capability to achieve diversity gain for wireless networks. In the work, therefore, the possibility of and mechanism for achieving greater utility for the CRN when cooperative diversity is incorporated are studied. To accomplish this, a resource allocation model is developed and analyzed for the heterogeneous, cooperative CRN. In the model, during cooperation, a best relay is selected to assist the secondary users that have poor channel conditions. Overall, the cooperation makes it feasible for virtually all the secondary users to improve their transmission rates while still causing minimal harm to the primary users. The results show a marked improvement in the resource allocation performance of the CRN when cooperation is used in contrast to when the CRN operates only by direct communication. KEYWORDScognitive radio networks, cooperative diversity, heterogeneous users, heuristic, linear and nonlinear programming, resource allocation 1 Int J Commun Syst. 2017;30:e3247.wileyonlinelibrary.com/journal/dac

Quality of service provisioning through resource optimisation in heterogeneous cognitive radio sensor networks

“…This is achieved by studying the structure of the problem. The idea used in achieving the reformulation is not entirely new, as it has been explored in some previous works on RA for the CRN, such as [16] and [15]. The idea is only now expanded in this paper to capture the intricacies of the heterogeneous CRSN.…”

“…Since the process of achieving the ILP reformulation of the RA problem developed for heterogeneous CRSN is in many ways similar to the ILP reformulations for CRN that have already been carried out and well documented by the authors in some of their previous works, the details on the ILP reformulation are not presented in this paper. The authors encourage interested readers to access their earlier works in [15] and [16] for a detailed explanation of the reformulation process. However, for necessary completeness, the reformulated problem is summarised in this section.…”