Solving resource allocation problems in cognitive radio networks: a survey

Abstract

Cognitive radio networks (CRN), in their quest to become the preferred next-generation wireless communication paradigm, will depend heavily on their ability to efficiently manage the limited resources at their disposal in meeting the demands of their numerous users and driving their operations. As a result, a considerable amount of research work has been recently dedicated to investigating and developing resource allocation (RA) models that capture the essentials of CRN. The various ideas put forward by researchers to address RA problems in CRN have been somewhat diverse, and somehow, there seem to be no links that bring cohesion and clarity of purpose and ideas. To address this problem and bridge the gap, in this paper, a comprehensive study on the prevalent techniques developed for addressing RA problems in CRN is carried out, with an intent to put some structure, relevance and meaning to the various solution approaches. The solution models are therefore grouped and/or classified based on certain outstanding criteria, and their strengths and weaknesses highlighted. Open-ended problems are identified, and suggestions for improving solution models are given. The study therefore gives good directions for further investigations on developing RA solutions in CRN.

Enhanced fuzzy C‐means clustering based cooperative spectrum sensing combined with multi‐objective resource allocation approach for delay‐aware CRNs

“…The learning of optimisation thus urgent to the comprehension of, and in creating answers for, RA issues in CRN. Fundamentally, optimisation can be investigated and utilised as a key tool for taking care of RA issues in CRN [9].…”

A Virtual Control Layer Resource Allocation Framework for Heterogeneous Cognitive Radio Network

“…The second one is how to reduce the computational cost, introduced by the complexity of both the network structures and RA objectives, in order to improve the QoS potential across different systems. The access of the radio resource is limited and dynamic [5] in a heterogeneous network (HetNet) enabled by the SDN or CR. Queueing theory is an effective tool to study the dynamic behavior of a communication system and the applications of queueing theory are well developed [6].…”

Resource Allocation in Heterogeneous Buffered Cognitive Radio Networks

“…In earlier works of the authors, a comprehensive survey of various approaches that have been investigated and employed in achieving optimal (or nearoptimal) solutions for RA in CRN has been carried out, with their pros and cons highlighted and discussed [5]. Optimal RA solutions for heterogeneous CRN were investigated in [6,7] and the works were further strengthened in [8] to include QoS provisioning.…”