Lin Zhou received the B.E. degree in information engineering from Shanghai Jiao Tong University in 2014 and the Ph.D. degree in electrical and computer engineering (ECE) from the National University of Singapore. He was a Research Fellow at the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor. Since August 2020, he has been with Beihang University, Beijing, China, where he is currently an Associate Professor with the School of Cyber Science and Technology. His research interests include information theory, wireless communications physical layer security, and statistical inference. He has published 27 journal papers (including 17 papers in IEEE Transactions on Information Theory), 28 conference papers (ISIT, ITW, Globecom and ICASSP) and 2 monographs--one on low-latency lossy data compression and the other one on twenty questions estimation, in Foundations and Trends in Communications and Information Theory (NOW Publisher). Lin Bai received the B.Sc. degree in electronic and information engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2004, the M.Sc. degree (Hons.) in communication systems from the University of Wales, Swansea, U.K., in 2007, and the Ph.D. degree in advanced telecommunications from the School of Engineering, Swansea University, U.K., in 2010. Since 2011, he has been with Beihang University (Beijing University of Aeronautics and Astronautics, BUAA), Beijing, China, where he is currently a Professor with the School of Cyber Science and Technology. He has authored two books published by Springer in 2012 and 2014. His research interests include multiple-input multiple-output (MIMO), the Internet of Things (IoT), and unmanned aerial vehicle (UAV) communications. He is a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society. He has served as a Symposium Co-Chair of IEEE GLOBECOM 2019 and a Tutorial Co-Chair of IEEE/CIC ICCC 2019. He is the Founding Chair of IEEE ComSoc Wireless Communications Technical Committee Special Interest Group (SIG) on Space Air Ground Integrated (SAGI) Communications. He has served as an Editor for IEEE TRANSACTIONS ON SIGNAL PROCESSING and IEEE WIRELESS COMMUNICATIONS LETTERS, the Lead Guest Editor for IEEE WIRELESS COMMUNICATIONS, and a Guest Editor for IEEE INTERNET OF THINGS JOURNAL. He is currently serving as an Editor for IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and the Managing Editor for Journal of Communications and Information Networks.

• Introduction.- Part I Information Theoretical Foundations.- Motivation of low-latency communication.- Theoretical Foundations a) Data compression: lossless and lossy.- Transmission of Arbitrary Source a) System model and coding scheme.- Multi-terminal compression a) Literature review.- Part II Wireless Communications Applications.- Degenerate MIMO: Lossy Multi-connectivity.- Conclusion.

Lin Zhou received the B.E. degree in information engineering from Shanghai Jiao Tong University in 2014 and the Ph.D. degree in electrical and computer engineering (ECE) from the National University of Singapore. He was a Research Fellow at the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor. Since August 2020, he has been with Beihang University, Beijing, China, where he is currently an Associate Professor with the School of Cyber Science and Technology. His research interests include information theory, wireless communications physical layer security, and statistical inference. He has published 27 journal papers (including 17 papers in IEEE Transactions on Information Theory), 28 conference papers (ISIT, ITW, Globecom and ICASSP) and 2 monographs--one on low-latency lossy data compression and the other one on twenty questions estimation, in Foundations and Trends in Communications and Information Theory (NOW Publisher). Lin Bai received the B.Sc. degree in electronic and information engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2004, the M.Sc. degree (Hons.) in communication systems from the University of Wales, Swansea, U.K., in 2007, and the Ph.D. degree in advanced telecommunications from the School of Engineering, Swansea University, U.K., in 2010. Since 2011, he has been with Beihang University (Beijing University of Aeronautics and Astronautics, BUAA), Beijing, China, where he is currently a Professor with the School of Cyber Science and Technology. He has authored two books published by Springer in 2012 and 2014. His research interests include multiple-input multiple-output (MIMO), the Internet of Things (IoT), and unmanned aerial vehicle (UAV) communications. He is a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society. He has served as a Symposium Co-Chair of IEEE GLOBECOM 2019 and a Tutorial Co-Chair of IEEE/CIC ICCC 2019. He is the Founding Chair of IEEE ComSoc Wireless Communications Technical Committee Special Interest Group (SIG) on Space Air Ground Integrated (SAGI) Communications. He has served as an Editor for IEEE TRANSACTIONS ON SIGNAL PROCESSING and IEEE WIRELESS COMMUNICATIONS LETTERS, the Lead Guest Editor for IEEE WIRELESS COMMUNICATIONS, and a Guest Editor for IEEE INTERNET OF THINGS JOURNAL. He is currently serving as an Editor for IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and the Managing Editor for Journal of Communications and Information Networks.

• Introduction.- Part I Information Theoretical Foundations.- Motivation of low-latency communication.- Theoretical Foundations a) Data compression: lossless and lossy.- Transmission of Arbitrary Source a) System model and coding scheme.- Multi-terminal compression a) Literature review.- Part II Wireless Communications Applications.- Degenerate MIMO: Lossy Multi-connectivity.- Conclusion.

Lin Zhou received the B.E. degree in information engineering from Shanghai Jiao Tong University in 2014 and the Ph.D. degree in electrical and computer engineering (ECE) from the National University of Singapore. He was a Research Fellow at the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor. Since August 2020, he has been with Beihang University, Beijing, China, where he is currently an Associate Professor with the School of Cyber Science and Technology. His research interests include information theory, wireless communications physical layer security, and statistical inference. He has published 27 journal papers (including 17 papers in IEEE Transactions on Information Theory), 28 conference papers (ISIT, ITW, Globecom and ICASSP) and 2 monographs--one on low-latency lossy data compression and the other one on twenty questions estimation, in Foundations and Trends in Communications and Information Theory (NOW Publisher). Lin Bai received the B.Sc. degree in electronic and information engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2004, the M.Sc. degree (Hons.) in communication systems from the University of Wales, Swansea, U.K., in 2007, and the Ph.D. degree in advanced telecommunications from the School of Engineering, Swansea University, U.K., in 2010. Since 2011, he has been with Beihang University (Beijing University of Aeronautics and Astronautics, BUAA), Beijing, China, where he is currently a Professor with the School of Cyber Science and Technology. He has authored two books published by Springer in 2012 and 2014. His research interests include multiple-input multiple-output (MIMO), the Internet of Things (IoT), and unmanned aerial vehicle (UAV) communications. He is a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society. He has served as a Symposium Co-Chair of IEEE GLOBECOM 2019 and a Tutorial Co-Chair of IEEE/CIC ICCC 2019. He is the Founding Chair of IEEE ComSoc Wireless Communications Technical Committee Special Interest Group (SIG) on Space Air Ground Integrated (SAGI) Communications. He has served as an Editor for IEEE TRANSACTIONS ON SIGNAL PROCESSING and IEEE WIRELESS COMMUNICATIONS LETTERS, the Lead Guest Editor for IEEE WIRELESS COMMUNICATIONS, and a Guest Editor for IEEE INTERNET OF THINGS JOURNAL. He is currently serving as an Editor for IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and the Managing Editor for Journal of Communications and Information Networks.

• Introduction.- Part I Information Theoretical Foundations.- Motivation of low-latency communication.- Theoretical Foundations a) Data compression: lossless and lossy.- Transmission of Arbitrary Source a) System model and coding scheme.- Multi-terminal compression a) Literature review.- Part II Wireless Communications Applications.- Degenerate MIMO: Lossy Multi-connectivity.- Conclusion.