Cognitive Radio Networks: Technologies, Challenges and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 20 May 2024 | Viewed by 19932
Special Issue Editors
Interests: wireless systems security; covert communications; Internet of Things; cognitive radio networks; 5G
Interests: cognitive radio networks; energy harvesting networks; wireless-powered communication networks; spectrum sensing; supervised learning; reinforcement learning
Interests: green communication; energy harvesting; physical payer security; cooperative communication; cognitive radio networks
Interests: cognitive radio networks; wireless interference management; signal processing for wireless communications; adaptive beamforming; MIMO
Special Issue Information
Dear Colleagues,
The demand for radio spectrum efficiency has been increasing dramatically over the past decade along with the explosive growth of various wireless devices, and the efficient utilization of radio spectrum resources is a key requirement for modern wireless networks and communications. In this context, the technology of cognitive radio networks, which equips wireless devices with the capability to optimally adapt operating parameters according to their interactions with the surrounding radio environment, is emerging to address the issues of spectrum efficiency and resource allocation, and has been receiving increasing academic and industrial attention in recent years. Although carrying huge application potential, cognitive radio networks also face great challenges. For instance, spectrum sensing is the key enabling function of cognitive radio networks to prevent harmful interference to licensed users and identify the available spectrum for improving spectrum utilization. However, practical detection performance is often compromised with multipath fading, shadowing, receiver uncertainty, and so on.
The aim of this Special Issue is to bring together and disseminate state-of-the-art research advances in the analysis, design, optimization, implementation, and standardization of cognitive radio networks. We welcome original research and review articles. The potential topics include, but are not limited to, the following:
- Architecture and building blocks of cognitive radio networks and systems;
- Design, analysis, and optimization of large-scale cognitive radio networks;
- Spectrum sensing, spectrum sharing, and spectrum learning and prediction;
- Interference mitigation and management for cognitive radio networks;
- Detection and estimation techniques for cognitive radio networks;
- Machine learning techniques for cognitive radio networks;
- Game-theoretic modeling of cognitive radio networks;
- Economic aspects of cognitive radio networking and spectrum sharing;
- Cognitive radio network standards, testbeds, simulation tools, and hardware prototypes;
- Challenges and issues in designing cognitive radio networks and communications.
Dr. Jia Liu
Dr. Kechen Zheng
Dr. Xiaoying Liu
Dr. Zhao Li
Dr. Yang Xu
Guest Editors
Manuscript Submission Information
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