Track 1 Joint Localization and Communication towards 6G wireless and beyond

Track Chair: Bingpeng Zhou, PhD, Associate Professor

The School of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen 518000, China.

Email: zhoubp3@mail.sysu.edu.cn

 

Scope:

As the standardization of 5G-Advanced progresses, visible light communication (VLC, also known as LiFi), millimeter wave (mmWave) large-scale antenna array and even Tera Hertz (TeHz) technologies are envisioned to be important infrastructures of 6G wireless communications. The associated communication signals tend to have high resolution in both time and spatial domain, paving the way for high-resolution localization using 6G communication signals.

On the other hand, future 6G wireless systems are expected to support diverse applications, such as autonomous driving, unmanned aerial vehicle (UAV), extended reality (XR) and robotic surveying. These kind of applications do not only require high-data rate communications but also need high-resolution localization. Hence, 6G infrastructure is required to provide wireless sensing services for users, rather than communication-only functionality. Therefore, the future 6G wireless networks should be capable of sensing the surrounding environment to enable advanced location-aware services, ranging from the physical layer (e.g., fast and training-free beam alignment) to application layers (e.g., city-wide weather monitoring). This type of method is typically referred to as Integrated Communication and Positioning (ICAP), which aims to organically integrate data transmission and wireless sensing on a single radio-frequency (RF) platform, ICAP cannot only avoid the waste of resources caused by isolated communication and localization system development, but also improve resource utilization efficiency by joint resources allocation in time, space and frequency domains.

This track welcomes manuscripts on all aspects of the modeling, design, analysis, optimization, signal processing and implementation of ICAP algorithms, protocols, architectures, and systems towards VLC, mmWave MIMO and TeHz wireless systems. Furthermore, contributions devoted to the channel measurements, system-level simulation, experimental performance demonstrations, prototyping, and field-tests of ICAP are solicited. High quality papers from both industry and academia are encouraged.

 

Topic:

Despite having drawn huge attention from both academia and industry, many open problems still remain to be investigated. This workshop aims at bringing together researchers from academia and industry to identify and discuss the major technical challenges, recent breakthroughs, and novel applications related to ICAP. Topics of interest include but are not limited to:

• Fundamental information theoretical limits for ICAP

• Network architectures and transmission protocol for ICAP

• Precoding/waveform/sequence/coding/modulation/beamforming design for ICAP

• Joint receiver design for ICAP

• Security and privacy issues for ICAP

• Machine learning/Network Intelligence for ICAP

• MIMO/Massive MIMO/intelligent reflecting surface (IRS) for ICAP

• VLC/Millimeter wave/THz technologies for ICAP

• ICAP for 6G unmanned aerial vehicles (UAV)

• Wi-Fi sensing/positioning/detection for ICAP

• Sensing-assisted communication and communication-assisted sensing

• Cooperative sensing and communication in ICAP

• Wi-Fi sensing for indoor positioning and target detection

• ICAP for vehicular-to-everything (V2X) networks

• Unmanned Aerial Vehicle (UAV) aided ICAP

• Channel measurement and modeling for ICAP

• System-level simulation, prototyping, and field-tests for ICAP