Organizer 组织者:

• • Bingpeng Zhou (Associate Professor), Sun Yat-sen University
  周炳朋，中山大学 副教授

Introduction 论坛简介:

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 kinds 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.

随着5G-Advanced标准化进程的推进，可见光通信（VLC，亦称LiFi）、毫米波（mmWave）大规模天线阵列乃至太赫兹（TeHz）技术有望成为6G无线通信的重要基础设施。相关的通信信号往往在时域和空域都具有高分辨率，为利用6G通信信号实现高分辨率定位铺平了道路。另一方面，未来的6G无线系统预计将支持多样化的应用，如自动驾驶、无人机（UAV）、扩展现实（XR）和机器人测量。这类应用不仅需要高速率通信，还需要高分辨率定位。因此，6G基础设施需要为用户提供无线感知服务，而不仅仅是通信功能。未来的6G无线网络应能够感知周围环境，以提供从物理层（如快速、免训练的波束对准）到应用层（如城市级天气监测）的高级位置感知服务。这种方法通常被称为通信与定位一体化（ICAP），其目标是在单一射频（RF）平台上有机集成数据传输和无线感知。ICAP不仅可以避免通信和定位系统孤立开发造成的资源浪费，还可以通过时、空、频域的联合资源分配来提高资源利用效率。

Topics 主题范围:

• Fundamental information theoretical limits for ICAP
  ICAP的基础信息理论极限
• Network architectures and transmission protocol for ICAP
  ICAP的网络架构与传输协议
• Precoding/waveform/sequence/coding/modulation/beamforming design for ICAP
  用于ICAP的预编码/波形/序列/编码/调制/波束成形设计
• Joint receiver design for ICAP
  ICAP的联合接收机设计
• Security and privacy issues for ICAP
  ICAP的安全与隐私问题
• Machine learning/Network Intelligence for ICAP
  用于ICAP的机器学习/网络智能
• MIMO/Massive MIMO/intelligent reflecting surface (IRS) for ICAP
  用于ICAP的MIMO/大规模MIMO/智能反射面（IRS）
• VLC/Millimeter wave/THz technologies for ICAP
  用于ICAP的VLC/毫米波/太赫兹技术
• ICAP for 6G unmanned aerial vehicles (UAV)
  用于6G无人机（UAV）的ICAP
• Wi-Fi sensing/positioning/detection for ICAP
  用于ICAP的Wi-Fi感知/定位/检测
• Sensing-assisted communication and communication-assisted sensing
  感知辅助通信与通信辅助感知
• Cooperative sensing and communication in ICAP
  ICAP中的协同感知与通信
• Wi-Fi sensing for indoor positioning and target detection
  用于室内定位与目标检测的Wi-Fi感知
• ICAP for vehicular-to-everything (V2X) networks
  用于车联网（V2X）的ICAP
• Unmanned Aerial Vehicle (UAV) aided ICAP
  无人机（UAV）辅助的ICAP
• Channel measurement and modeling for ICAP
  ICAP的信道测量与建模
• System-level simulation, prototyping, and field-tests for ICAP
  ICAP的系统级仿真、原型设计与现场测试