Carlos De Lima, Didier Belot, Rafael Berkvens, Andre Bourdoux, Davide Dardari, Maxime Guillaud, Minna Isomursu, Elena-Simona Lohan, Yang Miao, Andre Noll Barreto, Muhammad Reza Kahar Aziz, Jani Saloranta, Tachporn Sanguanpuak, Hadi Sarieddeen, Gonzalo Seco-Granados, Jaakko Suutala, Tommy Svensson, Mikko Valkama, Barend Van Liempd, Henk Wymeersch
Herein, 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. © 2013 IEEE.
Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, 90014, Finland; CEA-Leti, Gif-sur-Yvette, 91191, France; Department of Electronics - Ict, University of Antwerp-imec, Antwerp, 2610, Belgium; Imec, Leuven, 3001, Belgium; Department of Electrical Electronic and Information Engineering 'Guglielmo Marconi', University of Bologna, Bologna, 40126, Italy; Huawei Technologies France, Boulogne-Billancourt, 92100, France; Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, 33720, Finland; Faculty of Electrical Engineering Mathematics and Computer Science (EEMCS), Radio Systems (RS), University of Twente, Enschede, 7522, Netherlands; Barkhausen Institut, Dresden, 01187, Germany; Institut Teknologi Sumatera, Lampung, 35365, Indonesia; Electrical and Computer Engineering (ECE) Program, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia; Department of Telecommunications and Systems Engineering, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain; Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, 412 96, Sweden
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