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Gemini: Integrating Full-fledged Sensing upon Millimeter Wave Communications

Yilong Li, Zhe Chen, Jun Luo, Suman Banerjee

TL;DR

This paper designs and implements a full-fledged mmWave ISAC system Gemini and develops a joint optimization scheduling framework that can be utilized in accurate radar sensing while maximizing the communication throughput, and designs a united fusion sensing algorithm to offer a better sensing performance via combining monostatic and bistatic modes.

Abstract

Integrating millimeter wave (mmWave)technology in both communication and sensing is promising as it enables the reuse of existing spectrum and infrastructure without draining resources. Most existing systems piggyback sensing onto conventional communication modes without fully exploiting the potential of integrated sensing and communication (ISAC) in mmWave radios (not full-fledged). In this paper, we design and implement a full-fledged mmWave ISAC system Gemini; it delivers raw channel states to serve a broad category of sensing applications. We first propose the mmWave self-interference cancellation approach to extract the weak reflected signals for near-field sensing purposes. Then, we develop a joint optimization scheduling framework that can be utilized in accurate radar sensing while maximizing the communication throughput. Finally, we design a united fusion sensing algorithm to offer a better sensing performance via combining monostatic and bistatic modes. We evaluate our system in extensive experiments to demonstrate Gemini's capability of simultaneously operating sensing and communication, enabling mmWave ISAC to perform better than the commercial off-the-shelf mmWave radar for 5G cellular networks.

Gemini: Integrating Full-fledged Sensing upon Millimeter Wave Communications

TL;DR

This paper designs and implements a full-fledged mmWave ISAC system Gemini and develops a joint optimization scheduling framework that can be utilized in accurate radar sensing while maximizing the communication throughput, and designs a united fusion sensing algorithm to offer a better sensing performance via combining monostatic and bistatic modes.

Abstract

Integrating millimeter wave (mmWave)technology in both communication and sensing is promising as it enables the reuse of existing spectrum and infrastructure without draining resources. Most existing systems piggyback sensing onto conventional communication modes without fully exploiting the potential of integrated sensing and communication (ISAC) in mmWave radios (not full-fledged). In this paper, we design and implement a full-fledged mmWave ISAC system Gemini; it delivers raw channel states to serve a broad category of sensing applications. We first propose the mmWave self-interference cancellation approach to extract the weak reflected signals for near-field sensing purposes. Then, we develop a joint optimization scheduling framework that can be utilized in accurate radar sensing while maximizing the communication throughput. Finally, we design a united fusion sensing algorithm to offer a better sensing performance via combining monostatic and bistatic modes. We evaluate our system in extensive experiments to demonstrate Gemini's capability of simultaneously operating sensing and communication, enabling mmWave ISAC to perform better than the commercial off-the-shelf mmWave radar for 5G cellular networks.
Paper Structure (39 sections, 4 equations, 20 figures, 1 algorithm)

This paper contains 39 sections, 4 equations, 20 figures, 1 algorithm.

Table of Contents

  1. Introduction
  2. Background and Motivations
  3. Basics of mmWave Communication
  4. Tx Interference on Short-range Sensing
  5. Beam Scheduling Matters
  6. Complementary Sensing Modes
  7. Gemini: mmWave ISAC Design
  8. Channel Modeling and Probing
  9. Modeling mmWave MIMO Channels
  10. Probing mmWave ISAC Channels
  11. Monostatic Sensing for mmWave ISAC
  12. Beam Nulling
  13. Deep Denoising
  14. Beam Scheduling for mmWave ISAC
  15. Subject and UE Selection
  16. ...and 24 more sections

Figures (20)

  • Figure 1: Vision of full-fledged mmWave ISAC system.
  • Figure 2: Sensing results, in the form of CIR matrices, of push-pull hand gesture, w/ and w/o beamforming.
  • Figure 3: The communication throughput and sensing CIR heatmaps in monostatic and bistatic modes.
  • Figure 4: The reflection power and S-SNR in monostatic and bistatic modes, respectively.
  • Figure 5: Architecture of Gemini with four software components and one hardware platform.
  • ...and 15 more figures