A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 26610
Dr. Jia Liu
Dr. Jia Liu
Center for Strategic Cyber Resilience Research and Development, National Institute of Informatics, Tokyo 101-8430, Japan
Interests: wireless systems security; covert communications; Internet of Things; cognitive radio networks; 5G
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Dr. Kechen Zheng
Dr. Kechen Zheng
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
Interests: cognitive radio networks; energy harvesting networks; wireless-powered communication networks; spectrum sensing; supervised learning; reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaoying Liu
Dr. Xiaoying Liu
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
Interests: green communication; energy harvesting; physical payer security; cooperative communication; cognitive radio networks
Special Issues, Collections and Topics in MDPI journals
Dr. Zhao Li
Dr. Zhao Li
School of Cyber Engineering, Xidian University, Xi’an 710071, China
Interests: cognitive radio networks; wireless interference management; signal processing for wireless communications; adaptive beamforming; MIMO
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Dr. Yang Xu
Dr. Yang Xu
School of Computer Science and Technology, Xidian University, Xi’an 710071, China
Interests: wireless communications; air–space–ground integrated networks; physical layer security; network economics; cognitive radio networks
Special Issues, Collections and Topics in MDPI journals
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:
Dr. Jia Liu
Dr. Kechen Zheng
Dr. Xiaoying Liu
Dr. Zhao Li
Dr. Yang Xu
Guest Editors
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