Adaptive visible light integrated sensing and communication for cable-free virtual reality
Visible light communication plays an essential role in the next-generation 6G network due to its extremely high bandwidth and ultrafast transmission speed. Incorporating position sensing functionality into the communication system is highly desired for achieving target-oriented beamforming and accommodating high-speed data service. However, an efficient solution to integrated sensing and light communication remains challenging. Here, we demonstrate an integrated system that concurrently accomplishes high-precision sensing and high-speed data transmission by spatio-temporal modulation of the illumination and computational reconstruction. We developed a compressive angular projection imaging scheme to achieve rapid three-dimensional localization with high resolution, and a jointly optimized waveform design ensures slight sacrifice in the transmission data rate on the integrated system. We experimentally demonstrated a resolving resolution of 1 mm in lateral and 4 cm in depth within 0.6 m×0.6 m×0.6 m volume over 2 m distance at the sensing speed of 39 Hz in both static and dynamic conditions. This capability enables adaptive beamforming, which significantly enhances the data rate by 184% to permit errorless transmission of high-throughput virtual reality videos. Our work offers a promising route for intelligent wireless light communication systems with spatial perception capability, presenting the possibility of cable-free, immersive virtual reality experiences.
Authors
- Yuanlong Zhang (ORCID: https://orcid.org/0000-0003-3725-1973)
- Chao Shen (ORCID: https://orcid.org/0000-0003-2860-8897)
- Jianyang Shi (ORCID: https://orcid.org/0000-0002-5478-3704)
- Ziwei Li (ORCID: https://orcid.org/0000-0002-9179-3995)
- Nan Chi (ORCID: https://orcid.org/0000-0003-4966-3844)
- Junwen Zhang (ORCID: https://orcid.org/0000-0001-8041-1608)
Institutions
- Shanghai Micro Satellite Engineering Center (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Shanghai Artificial Intelligence Laboratory (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Photonics Research
- Published
- 2025-06-07
- DOI
- https://doi.org/10.1364/prj.561888
- Citations
- 1
- Primary Topic
- Optical Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73