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dc.contributor.authorLima, Carlos de
dc.contributor.authorBelot, Didier
dc.contributor.authorBerkvens, Rafael
dc.contributor.authorBourdoux, Andre
dc.contributor.authorDardari, Davide
dc.contributor.authorGuillaud, Maxime
dc.contributor.authorIsomursu, Minna
dc.contributor.authorLohan, Elena-Simona
dc.contributor.authorMiao, Yang
dc.contributor.authorBarreto, Andre Noll
dc.contributor.authorAziz, Muhammad Reza Kahar
dc.contributor.authorSaloranta, Jani
dc.contributor.authorSanguanpuak, Tachporn
dc.contributor.authorSarieddeen, Hadi
dc.contributor.authorSeco-Granados, Gonzalo
dc.contributor.authorSuutala, Jaakko
dc.contributor.authorSvensson, Tommy
dc.contributor.authorValkama, Mikko
dc.contributor.authorLiempd, Barend van
dc.contributor.authorWymeersch, Henk
dc.date.accessioned2021-02-01T10:54:27Z
dc.date.available2021-02-01T10:54:27Z
dc.date.issued2021
dc.identifier.citationDe Lima, C., Belot, D., Berkvens, R., Bourdoux, A., Dardari, D., Guillaud, M., … Wymeersch, H. (2021). Convergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges. IEEE Access, 1–1. doi:10.1109/access.2021.3053486
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/ACCESS.2021.3053486
dc.identifier.urihttp://hdl.handle.net/10754/667165
dc.description.abstractHerein, we focus on convergent 6G communication, localization and sensing systems by identifying key technology enablers, discussing their underlying challenges, implementation issues, and recommending potential solutions. Moreover, we discuss exciting new opportunities for integrated localization and sensing applications, which will disrupt traditional design principles and revolutionize the way we live, interact with our environment, and do business. Regarding potential enabling technologies, 6G will continue to develop towards even higher frequency ranges, wider bandwidths, and massive antenna arrays. In turn, this will enable sensing solutions with very fine range, Doppler, and angular resolutions, as well as localization to cm-level degree of accuracy. Besides, new materials, device types, and reconfigurable surfaces will allow network operators to reshape and control the electromagnetic response of the environment. At the same time, machine learning and artificial intelligence will leverage the unprecedented availability of data and computing resources to tackle the biggest and hardest problems in wireless communication systems. As a result, 6G will be truly intelligent wireless systems that will provide not only ubiquitous communication but also empower high accuracy localization and high-resolution sensing services. They will become the catalyst for this revolution by bringing about a unique new set of features and service capabilities, where localization and sensing will coexist with communication, continuously sharing the available resources in time, frequency, and space. This work concludes by highlighting foundational research challenges, as well as implications and opportunities related to privacy, security, and trust.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9330512/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9330512
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject6G
dc.subjectbeamforming
dc.subjectcmWave
dc.subjectcontext-aware
dc.subjectIRS
dc.subjectML/AI
dc.subjectmmWave
dc.subjectradar
dc.subjectsecurity
dc.subjectsensing
dc.subjectSLAM
dc.subjectTHz
dc.titleConvergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalIEEE Access
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionUniversity of Oulu, Finland.
dc.contributor.institutionCEA-LETI, France.
dc.contributor.institutionUniversity of Antwerp – IMEC, Belgium.
dc.contributor.institutionIMEC, Belgium.
dc.contributor.institutionUniversity of Bologna, Italy.
dc.contributor.institutionHuawei Technologies Paris, France.
dc.contributor.institutionTampere University, Finland.
dc.contributor.institutionUniversity of Twente, Netherlands.
dc.contributor.institutionBarkhausen Institut, Germany.
dc.contributor.institutionInstitut Teknologi Sumatera, Indonesia.
dc.contributor.institutionUniversitat Autonoma de Barcelona, Spain.
dc.contributor.institutionChalmers University of Technology, Sweden.
dc.identifier.pages1-1
kaust.personSarieddeen, Hadi
refterms.dateFOA2021-02-01T10:55:18Z


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