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Energy-efficient spectrum-aware clustering for cognitive radio sensor networks

science Bulletin 2012年第Z2期 3731-3739页

作者： zhang huazi 1,2,zhang zhaoyang 1,2*2* & yuen chau 3 1 department of information science and electronic engineering,zhejiang university,hangzhou 310027,china 2 zhejiang Provincial Key Laboratory of information Network Technology,hangzhou 310027,china 3 Singapore university of Technology and Design,Singapore

As a smart combination of cognitive radio networks and wireless sensor networks,recently introduced cognitive radio sensor network(CRSN) poses new challenges to the design of topology maintenance techniques for dynamic primary-user *** paper aims to provide a solution to the energy-efficient spectrum-aware CRSN clustering ***,we design the clustered structure,establish a network-wide energy consumption model and determine the optimal number of *** then employ the ideas from constrained clustering and propose both a centralized spectrum-aware clustering algorithm and a distributed spectrum-aware clustering(DSAC) *** extensive simulations,we demonstrate that DSAC can effectively form clusters under a dynamic spectrum-aware ***,DSAC exhibits preferable scalability and stability with its low complexity and quick convergence under dynamic spectrum variation.

关键词： cognitive radio sensor network constrained clustering energy efficient distributed spectrum-aware clustering

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Energy-efficient spectrum-aware clustering for cognitive radio sensor networks

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Chinese science Bulletin 2012年第28期57卷 3731-3739页

作者： zhang huazi zhang zhaoyang yuen chau department of information science and electronic engineering Zhejiang UniversityHangzhou 310027China zhejiang Provincial Key Laboratory of information Network Technology Hangzhou 310027China Singapore university of Technology and Design Singapore

关键词：无线传感器网络认知无线电频谱感知集群节能高效聚类问题无线电网络

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Wireless communications empowered by reconfigurable intelligent surfaces: Model-based vs model-free channel estimation

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Journal of information and Intelligence 2023年第3期1卷 253-266页

作者： Li Wei Chongwen Huang George C.Alexandropoulos Ahmet M.Elbir Zhaohui Yang zhaoyang zhang Marco Di Renzo Merouane Debbah chau yuen engineering Product Development Pillar Singapore University of Technology and DesignSingapore 487372Singapore College of information science and electronic engineering Zhejiang UniversityHangzhou 310027China department of Informatics and Telecommunications National and Kapodistrian University of Athens15784 AthensGreece Interdisciplinary Centre for Security Reliability and TrustUniversity of LuxembourgL-4365 Esch-sur-AlzetteLuxembourgand Duzce UniversityDuzce 81620Turkey Universite Paris-Saclay CNRSCentraleSupelecLaboratoire des Signaux et Systemes91192France Khalifa university of science and Technology Abu DhabiUnited Arab Emirates School of Electrical and electronics engineering Nanyang Technological UniversitySingapore 639798Singapore

Reconfigurable intelligent surfaces(RISs)are lately being attractive for their great potential in future sixth generation wireless communications(6G),which is attributed to their affordable energy consumption and easy ***,the large numbers of low-cost reflecting elements comprising RISs impose challenges for channel acquisition in various RIS-based wireless applications,such as RIS-enhanced orthogonal frequency-division multiplexing and multi-user multipleinput multiple-output *** this article,we first overview the state-of-the-art RIS hardware architectures designed to assist channel estimation for RIS-empowered wireless communication *** also overview existing channel estimation approaches,which are categorized into model-based and model-free techniques,and discuss their advantages and limitations depending on the RIS *** challenges with RIS-empowered systems in terms of hardware and other parameter limitations are presented,together with future research directions for channel estimation in RIS-based wireless systems,such as RISs with extremely large numbers of elements,multi-hop communications with RISs,and frequency division duplexing for high mobility systems.

关键词： Reconfigurable intelligent surfaces Channel estimation Model-based methods Model-free methods

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