Reshaping WiFi ISAC with High-Coherence Hardware Capabilities

WiFi shows great promise for integrated sensing and communication (ISAC), but its wider application is hampered by two pivotal challenges: the low-quality channel state information (CSI) and inadequate hardware capabilities. This article introduces a paradigm shift with high-coherence hardware capabilities to fundamentally overcome these two challenges. Our approach is realized through four key break-throughs. First, we uncover a novel category of CSI error sources, termed CODEs, which pose core challenges for WiFi ISAC. The CODEs stem from the WiFi hardware design, and addressing them requires hardware-level modifications. Then, we propose a list of high-coherence hardware capabilities aimed at eliminating these errors. Our analysis indicates that the majority of these capabilities can be implemented at the firmware level, with a minority requiring chip-level changes. Next, we introduce two robust and synergistic incentives to encourage vendors to integrate these capabilities into their hardware: the 802.11bf standard and its certification program, and the large-scale carrier-grade purchasing. Finally, we present two demonstrations: a sub-nanosecond level time-of-flight (ToF) estimation system and a WiFi-based phased array. Both demonstrations show that remarkable sensing precision is achievable with the proposed high-coherence capabilities.

Authors

Institutions

Publication Details

Journal
IEEE Communications Magazine
Published
2024-09-01
DOI
https://doi.org/10.1109/mcom.001.2300602
Citations
3
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reshaping WiFi ISAC with High-Coherence Hardware Capabilities

Zhiping Jiang, Yang Sun, Fangxin Xu, Yiming Liu et al.
3 citations
IEEE Communications Magazine
Indoor and Outdoor Localization Technologies
0.63
article

Reshaping WiFi ISAC with High-Coherence Hardware Capabilities

Zhiping Jiang, Yang Sun, Fangxin Xu, Yiming Liu, Rui Li, Rui Du, Yiyan Zhang, Hangbin Zhao, Yu Duan, Tony Xiao Han, Daiyang Zhang
article en
3 citations

Abstract

WiFi shows great promise for integrated sensing and communication (ISAC), but its wider application is hampered by two pivotal challenges: the low-quality channel state information (CSI) and inadequate hardware capabilities. This article introduces a paradigm shift with high-coherence hardware capabilities to fundamentally overcome these two challenges. Our approach is realized through four key break-throughs. First, we uncover a novel category of CSI error sources, termed CODEs, which pose core challenges for WiFi ISAC. The CODEs stem from the WiFi hardware design, and addressing them requires hardware-level modifications. Then, we propose a list of high-coherence hardware capabilities aimed at eliminating these errors. Our analysis indicates that the majority of these capabilities can be implemented at the firmware level, with a minority requiring chip-level changes. Next, we introduce two robust and synergistic incentives to encourage vendors to integrate these capabilities into their hardware: the 802.11bf standard and its certification program, and the large-scale carrier-grade purchasing. Finally, we present two demonstrations: a sub-nanosecond level time-of-flight (ToF) estimation system and a WiFi-based phased array. Both demonstrations show that remarkable sensing precision is achievable with the proposed high-coherence capabilities.

IEEE Communications MagazineVol. 62(9)
Xidian University (CN), China Mobile (China) (CN), Huawei Technologies (China) (CN), Taiwan Semiconductor Manufacturing Company (China) (CN), State Radio Regulation Of China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 32%
Indoor and Outdoor Localization Technologies
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.