2020 IEEE Globecom Workshops (GC WKSHPS 2020
DOI: 10.1109/gcwkshps50303.2020.9367442
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Wi-Sneeze- Sneeze Sensing using Wi-Fi Signals

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Cited by 5 publications
(5 citation statements)
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“…On the other hand, both W C S C and W A S A can be used for monostatic sensing, which suggests that communication will not interfere sensing. Instead, it will facilitates target estimation 4 . By substituting ( 18) into ( 16) as communication utility functions, problem (16) minimizes the estimation MSE subject to per-user SINR constraints, which can be optimally solved via semidefinite relaxation (SDR) [116].…”
Section: Tradeoff In Phymentioning
confidence: 99%
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“…On the other hand, both W C S C and W A S A can be used for monostatic sensing, which suggests that communication will not interfere sensing. Instead, it will facilitates target estimation 4 . By substituting ( 18) into ( 16) as communication utility functions, problem (16) minimizes the estimation MSE subject to per-user SINR constraints, which can be optimally solved via semidefinite relaxation (SDR) [116].…”
Section: Tradeoff In Phymentioning
confidence: 99%
“…2) Tradeoff between Novel Sensing Metrics and Communication Metrics: On top of the tradeoff between native S&C metrics, there were also research efforts focusing on defining 4 Notice that the dedicated sensing signals W A S A can also be a-priori designed, and thus can be known at the communication receivers prior to the transmission. In this case, the communication receivers can pre-cancel the interference caused by the sensing signals before decoding the communication signal, thus leading to an increased SINR with h H k W A 2 disappeared in the denominator in ( 18) [115].…”
Section: Tradeoff In Phymentioning
confidence: 99%
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“…This thus calls for a paradigm shift in wireless networks, from the conventional communications only design, to a new design with sensing-communication-computation integration. Towards this end, integrated sensing and communication (ISAC) 1 [3]- [17], has recently attracted growing research interests in both academia and industry, in which the radar sensing capabilities are integrated into wireless networks (e.g., 6G cellular [18] and WiFi 7 [19], [20]) for a joint communications and sensing design. On one hand, with such integration, ISAC can significantly enhance the spectrum utilization efficiency and cost efficiency by exploiting the dual use of radio signals and infrastructures for both radar sensing and wireless communication [18].…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, due to the advancements of millimeter wave (mmWave)/terahertz (THz), wideband transmission (on the order of 1 GHz), and massive antennas in wireless communications, ISAC can reuse the communication signals to provide high sensing resolution (in both range and angular) and sensing accuracy (in detection and estimation) to meet the stringent sensing requirements of emerging applications. In the industry, Huawei and Nokia envisioned ISAC as one of the key technologies for 6G [18], [21], and IEEE 802.11 formed the WLAN Sensing Task Group IEEE 802.11bf in September 2020, with the objective of incorporating wireless sensing as a new feature for next-generation WiFi systems (e.g., Wi-Fi 7) [19], [20].…”
Section: Introductionmentioning
confidence: 99%