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ISAC Prototype System for Multi-Domain Cooperative Communication Networks

Jie Yang, Hang Que, Tao Du, Le Liang, Xiao Li, Chao-Kai Wen, Shi Jin

TL;DR

This work has developed an advanced ISAC prototype system that incorporates monostatic, bistatic, and network sensing modes that supports multimodal data collection and synchronization, ensuring comprehensive experimental validation of sensing capabilities and the role of sensing in boosting communication.

Abstract

Future wireless networks are poised to transform into integrated sensing and communication (ISAC) networks, unlocking groundbreaking services such as digital twinning. To harness the full potential of ISAC networks, it is essential to experimentally validate their sensing capabilities and the role of sensing in boosting communication. However, current prototype systems fall short in supporting multiple sensing functions or validating sensing-assisted communication. In response, we have developed an advanced ISAC prototype system that incorporates monostatic, bistatic, and network sensing modes. This system supports multimodal data collection and synchronization, ensuring comprehensive experimental validation. On the communication front, it excels in sensing-aided beam tracking and real-time high-definition video transmission. For sensing applications, it provides precise angle and range measurements, real-time angle-range imaging, and radio-based simultaneous localization and mapping (SLAM). Our prototype aligns with the 5G New Radio standard, offering scalability for up to 16 user equipments (UEs) in uplink transmission and 10 UEs in downlink transmission. Real-world tests showcase the system's superior accuracy, with root mean square errors of 2.3 degrees for angle estimation and 0.3 meters (m) for range estimation. Additionally, the estimation errors for multimodal-aided real-time radio SLAM localization and mapping are 0.25 m and 0.8 m, respectively.

ISAC Prototype System for Multi-Domain Cooperative Communication Networks

TL;DR

This work has developed an advanced ISAC prototype system that incorporates monostatic, bistatic, and network sensing modes that supports multimodal data collection and synchronization, ensuring comprehensive experimental validation of sensing capabilities and the role of sensing in boosting communication.

Abstract

Future wireless networks are poised to transform into integrated sensing and communication (ISAC) networks, unlocking groundbreaking services such as digital twinning. To harness the full potential of ISAC networks, it is essential to experimentally validate their sensing capabilities and the role of sensing in boosting communication. However, current prototype systems fall short in supporting multiple sensing functions or validating sensing-assisted communication. In response, we have developed an advanced ISAC prototype system that incorporates monostatic, bistatic, and network sensing modes. This system supports multimodal data collection and synchronization, ensuring comprehensive experimental validation. On the communication front, it excels in sensing-aided beam tracking and real-time high-definition video transmission. For sensing applications, it provides precise angle and range measurements, real-time angle-range imaging, and radio-based simultaneous localization and mapping (SLAM). Our prototype aligns with the 5G New Radio standard, offering scalability for up to 16 user equipments (UEs) in uplink transmission and 10 UEs in downlink transmission. Real-world tests showcase the system's superior accuracy, with root mean square errors of 2.3 degrees for angle estimation and 0.3 meters (m) for range estimation. Additionally, the estimation errors for multimodal-aided real-time radio SLAM localization and mapping are 0.25 m and 0.8 m, respectively.

Paper Structure

This paper contains 10 sections, 4 figures, 1 table.

Table of Contents

  1. Introduction
  2. System Overview
  3. Prototype Setup
  4. Hardware Architecture
  5. Frame Structure
  6. Experiments Results
  7. Angle-Range Imaging
  8. Multimodal-Aided Radio SLAM
  9. Sensing-Aided Beam Tracking
  10. Conclusion

Figures (4)

  • Figure 1: Hardware architecture and front-end interface display. (a) Bistatic sensing. (b) Monostatic sensing. (c) Network sensing. (d) Full beam scanning. (e) Sensing-aided beam tracking. Sub-figures in (d) and (e) include time-domain waveform, power spectrum, synchronization head detection, constellation diagram, reference signal received power (RSRP) image, and real-time video receiving. Rows and columns of the RSRP image represent the beam indexes of the UE and BS, respectively. BS scans 64 beams, while UE searches 64 beams in full beam scanning and 16 beams in sensing-aided beam tracking.
  • Figure 2: Frame structure that support multi-nodes cooperation. DL: downlink, UL: uplink, SSB: synchronization signal block, RACH: random access channel, PDU: protocol data unit, PSS: primary synchronization signal, PBCH: physical broadcast channel, SSS: secondary synchronization signal, ZC: Zadoff-Chu, TX: transmit, RX: receive.
  • Figure 3: Angle-range imaging and the corresponding point cloud.
  • Figure 4: Multimodal-aided radio SLAM.