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Integrated Sensing And Communication (ISAC) Workshop

Beyond 5G networks will provide value-added services beyond connectivity, supporting critical indoor and outdoor applications such as connected vehicles, autonomous factories, smart cities, smart roads among o

thers. In this context, a new emerging paradigm is that of Integrated Sensing And Communication (ISAC). The need for this paradigm is explained by the increasing use of the spectrum resources with a huge number of different sources, devoted to both sensing, like radars, and communication purposes. A number of possible architectures, all ascribable to the ISAC framework, can be devised, ranging from the mere coexistence of independent or nearly independent systems, to fully integrated systems, where both systems could use the same platform, same antenna, same waveforms etc.

If you want to learn more about this exciting topic, you are invited to attend the 3rd AESS workshop on ISAC.

You can register for the ISAC Workshop as a part of your conference registration. You can register here.


3rd AESS Workshop on Integrated Sensing and Communications (ISAC)

November 6th , Sydney, Australia
Time: 14:00 – 17:00
Venue: ICC Conference room

2:00 PM
Title: Introduction to the Integrated Sensing and Communications (ISAC) paradigm
Speaker and workshop chair: Maria Sabrina Greco, University of Pisa, Italy

2:10 PM
Title: Sensing in Communications-centric Bi-Static ISAC Systems with Clock Asynchronism
Speaker: Andrew Zhang, University of Technology, Sydney, Australia

Abstract: Clock asyn

chronism is a central problem in integrating radar sensing into communication networks. It can cause ranging ambiguity and prevent coherent processing of dis-continuous measurements in the integration with asynchronous transceivers. Should it be resolved, sensing can be efficiently realized in communication networks requiring little network infrastructure and hardware changes.

This talk explores the techniques for resolving the clock asynchronism problem in the integration. We first introduce this problem in the context of a perceptive mobile network where sensing is integrated into mobile communications. We then review three classes of existing techniques, including using a global reference clock, single-node-based and network-based solutions. We elaborate on the single-node-based solution, which achieves sensing in a single node with multiple receiving antennas, exploring the common clock offsets across antennas. We conclude the talk by looking into open problems and future research op


Biography: Dr J. Andrew Zhang (M’04-SM’11) is a Professor in the School of Electrical and Data Engineering, University of Technology Sydney, Australia. His research interests are in the area of signal processi

ng for wireless communications and sensing. Prof. Zhang has published more than 270 papers in leading Journals and conference proceedings, and has won 5 best paper awards. He is a recipient of CSIRO Chairman’s Medal and the Australian Engineering Innovation Award in 2012 for exceptional research achievements in multi-gigabit wireless communications.

Prof. Zhang is one of the pioneer researchers in integrated sensing and communications (ISAC). He initiated the concep

t of perceptive mobile network, by defining its system framework and demonstrating its feasibility in a set of papers back in 2017. Prof. Zhang co-organized a number of ISAC workshops at leading conferences and special issues in leading IEEE journals. He has delivered ISAC tutorials in WCNC 2021, ICC 2021, and ICC 2022, and numerous keynotes and invited talks. He is serving as the publication co-chair of the IEEE Communicatio

n Society’s Integrated Sensing and Communication Emerging Technology Initiative (ISAC-ETI) and the Editor-in-Chief for its official publication, the ISAC-Focus. Prof. Zhang has received more than five million dollars of research funds in this area. For details, please refer to https://sites.google.com/view/andrewzhang/.


2:50 PM

Title: Delay-Doppler Plane Multi-Carrier Modulation: A Prom

ising Signal Waveform for Integrated Sensing and Communications (ISAC)
Speaker: Jinhong Yuan, University of New South Wales, Sydney, Australia

Abstract. In this talk, we first revisit linear time-varying channel’s representations in the time-frequency domain and the delay-Doppler domain. Then we briefly review recent development of orthogonal time frequency space (OTFS) modulation. Motivated by OTFS, we introduce a general multi-carrier (MC) modulation on delay-Doppler plane. A delay-Doppler plane orthogonal pulse (DDOP), which is essential for delay-Doppler plane MC

modulation waveform, is presented. We investigate the frequency domain representation of the DDOP, and compare the DDOP-based MC modulation with other modulation schemes. Various low complexity detection algorithms for the DD plane MC modulation are discussed. Interestingly, we show perfect orthogonality property of the DDOP with respect to delay-Doppler resolutions using its ambiguity function, which infers that the proposed MC signal waveform is suitable for integrated sensing and communications (ISAC).

Biography: Jinhon

g Yuan received the B.E. and Ph.D. degrees in electronics engineering in 1991 and 1997, respectively. From 1997 to 1999, he was a Research Fellow with the School of Electrical Engineering, The University of Sydney, Australia. In 2000, he joined the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, where he is currently a Professor and the Head of the Telecommunication Group. He has published two books, five book chapters, over 400 articles in telecommunications journals and conference proceedings, over 50 industrial reports and 10 patents. His current research interests include error control coding and information theory, communication theory, and wireless communications. He has coauthored four best paper awards and one best poster award. He is an I

EEE Fellow, and has served as the IEEE NSW Chapter Chair for Joint Communications/Signal Processions/Ocean Engineering Chapter during 2011–2014. He has served as an Associate Editor for the IEEE Transactions on Communications during 2012–2017. He is serving as an Associate Editor for the IEEE Transactions on Wireless Communications and IEEE Transactions on Communications.


3:30 -3:50 PM Coffee break

3:50 PM

Title: Index Modulation Schemes for Dual Function Radar Communications
Speaker: Elias Aboutanios, University of New South Wales, Sydney, Australia

Abstract: Dual Function Radar Communications (DFRC) aims to embed communication symbols into the radar e

missions. In this manner, DFRC strategies are radar-centric Integrated Sensing and Communication (ISAC) schemes. Index modulation (IM), which consider the indices of system configurations as a means to carry information, expand the boundaries of how information can be conveyed to a receiver. Recently IM schemes, which enable high data rates to be achieved, have been proposed for DFRC. In this talk, we discuss index modulation in MIMO radar, focusing on frequency-hopped radar waveforms.

Biography: Elias Aboutanios received the bachelor’s degree in engineering from the University of New South Wales in 1997, and the Ph.D. degree from the University of Technology Sydney (UTS), Australia, in 2003. From 2003 to 2007, he was a Research Fellow with the Institute for Digital Communications, at the University of Edinburgh, where he conducted research on space time adaptive processing for radar target detection. He is currently Associate Professor with the School of Electrical Engineering and Telecommunications at the University of New South Wales. He established and led the UNSW-EC0 cubesat project which culminated in the launch of the satellite in 2017. He also established and is coordinator of the Master of Engineering Science in Space Systems at UNSW. A/Prof Aboutanios has served as Associate Editor of the IEEE transactions on Signal Processing and IET Signal Processing and is currently Associate Editor of Digital Signal Processing. He is a member of the IEEE SAM Technical Committee and has been elected as the vice chair for 2023. He received the best paper award at the 2022 international radar conference, and is the recipient of the Best Oral Presentation Award (CISPBMEI’10), the Excellence in Research Supervision Award in 2014, the Teaching Excellence Award in 2011, the Australian Postgraduate Scholarship in 1998, the Sydney Electricity Scholarship in 1994, and the UNSW Co-Op Scholarship in 1993. His research interests are in statistical signal processing and in particular signal detection and parameter estimation for various applications such as radar, GNSS, smart grids, and nuclear magnetic resonance spectroscopy. He has given a number of invited talks on radar target detection, direction of arrival estimation and joint radar and communications.


4:30 PM

Title: Embedding communications onto radar emissions – design methods, analysis, and experimentation
Speaker: Patrick McCormick, The University of Kansas, USA

Abstract: The utilization of the electromagnetic spectrum has been an increasing focus of research in recent years to improve the spectral efficiency of wireless radio frequency users. This efficiency can be gained via methods of coexistence with other users, or through the design of multi-functional emissions to perform different RF objectives. This talk will focus on the latter example, where we will discuss embedding communications information onto radar emissions. With the flexibility of commercially available software-defined systems and digital array structures, co-design of waveform modulation structures to perform radar and communications simultaneously is an increasingly relevant means to improve the spectral efficiency of a transmission. The flexibility of arbitrary waveform generation and digital arrays provides access to design degrees of freedom (such as time, frequency, space, and coding) that can be leveraged during the waveform design process. In this talk, three different designs of dual-function radar-communications transmissions will be highlighted with an emphasis on practical considerations regarding implementation

Biography: Dr. Patrick McCormick received a B.S. degree in mechanical engineering, B.S. in electrical engineering, and Ph.D. degree in electrical engineering from the University of Kansas, Lawrence, KS, USA, in 2008, 2013, and 2018, respectively. From 2018 to 2021, he served as a research electronics engineer with the Air Force Research Laboratory – Sensors Directorate, Wright-Patterson AFB, OH. In 2021, he began his current position as an Assistant Professor at the University of Kansas in the Electrical Engineering and Computer Science department. He has multiple refereed journal publications, conference papers, book chapters, and patents in the areas of waveform diversity and design, adaptive receive signal processing, and radar/communication spectrum sharing. Dr. McCormick was awarded the 2018 Robert T. Hill Best Dissertation Award for his work in radar waveform design and optimization and is a 2023 DARPA Young Faculty Award recipient for his work on radar-communications coexistence and cognitive radar.