TY - JOUR
T1 - Convergent communication, sensing and localization in 6g systems
T2 - An overview of technologies, opportunities and challenges
AU - De Lima, Carlos
AU - Belot, Didier
AU - Berkvens, Rafael
AU - Bourdoux, Andre
AU - Dardari, Davide
AU - Guillaud, Maxime
AU - Isomursu, Minna
AU - Lohan, Elena Simona
AU - Miao, Yang
AU - Barreto, Andre Noll
AU - Aziz, Muhammad Reza Kahar
AU - Saloranta, Jani
AU - Sanguanpuak, Tachporn
AU - Sarieddeen, Hadi
AU - Seco-Granados, Gonzalo
AU - Suutala, Jaakko
AU - Svensson, Tommy
AU - Valkama, Mikko
AU - Van Liempd, Barend
AU - Wymeersch, Henk
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - 6G
KW - beamforming
KW - cmWave
KW - context-aware
KW - IRS
KW - ML/AI
KW - mmWave
KW - radar
KW - security
KW - sensing
KW - SLAM
KW - THz
UR - http://www.scopus.com/inward/record.url?scp=85100464268&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3053486
DO - 10.1109/ACCESS.2021.3053486
M3 - Review article
AN - SCOPUS:85100464268
SN - 2169-3536
VL - 9
SP - 26902
EP - 26925
JO - IEEE Access
JF - IEEE Access
M1 - 9330512
ER -