Cooperative Positioning System for Industrial IoT via mmWave Device-to-Device Communications

Lu, Yi; Koivisto, Mike; Talvitie, Jukka; Rastorgueva-Foi, Elizaveta; Valkama, Mikko; Lohan, Elena Simona

doi:10.1109/vtc2021-spring51267.2021.9448644

Cited by 7 publications

(10 citation statements)

References 9 publications

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“…4b records the transferred data of the target point, which include the keys shared with the reference points and the received data from the computation server. From the figure, we can see that (1) The computation time of the target point in Pub-pos and Pri-pos is much less than that in Pai. (2) The computation time of the target point remains stable in Pub-pos and Pri-pos while increasing linearly in Pai with the increase of security strength.…”

Section: Performance Of Target Pointmentioning

confidence: 94%

“…As one of the central technical enablers in the emerging IIoT, high-accuracy positioning has drawn huge attention with the potential in enhancing location-aware communications, intelligent transportation, and so on [1]. Positioning is also a crucial function in location-based services (LBS) like Google Maps, Uber, Wolt, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the benefits of these positioning systems, the risk of information disclosure threatens the engagement of their participants. The threat resides in three aspects: (1) The estimated coordinate of the target point. This results from the sensitivity of location as the possibility of inferring sensitive information related to the location owner.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Privacy Protection Protocols for 5G-Enabled Positioning in Industrial IoT

Liu

Yan

2022

IEEE Internet Things J.

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Section: Performance Of Target Pointmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Privacy Protection Protocols for 5G-Enabled Positioning in Industrial IoT

Liu

Yan

2022

IEEE Internet Things J.

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“…where the operator T is transpose operation. a ULA (θ) and a ULA (ϕ|θ) [35] are azimuth and elevation manifolds, respectively and defined as:…”

Section: B Angle Manifold 1) Angle Manifold Of Ura In Uplink Scenariomentioning

confidence: 99%

Embedding the Localization and Imaging Functions in Mobile Systems: An Airport Surveillance Use Case

Sun

Tan

Ashraf

et al. 2022

IEEE Open J. Commun. Soc.

Self Cite

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Driven by the extended applications and scarce spectrum resources, integrating the radio sensing functions into the future mobile system has been a consensus between the stakeholders. This paper demonstrates the feasibility of joint localization and imaging functions by exploiting the reference signal in the radio frame defined in the mobile system. Essentially, the subspace-based algorithms are adopted to jointly estimate the angle and distance and to enable the localization function for uplink and downlink signals and the derivation of theoretical performance boundaries. The vector antenna and virtual array concepts are introduced in the downlink scenario to enhance the angle estimation resolution. The uplink sounding reference signal is exploited to enable the imaging function as analog to synthetic-aperture radar (SAR). The joint localization and imaging performances are verified with a realistic ray-tracing channel based on the 3D ground and buildings model of Muret airport in France. The simulation results show that the reference signal can provide acceptable localization accuracy and target-distinguishing capability by adopting a virtual array and joint time-spatial smoothing in downlink and uplink, respectively. The joint localization and imaging results prove that the future mobile network is potentially a viable infrastructure to provide economic surveillance solutions for airports, particularly for secondary airports that are not well equipped with dedicated surveillance systems.

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“…Higher frequencies provide a larger bandwidth that improves accuracy of time measurements and resolution of multipath, while ELAA provides more accurate directional beams and angle information. Further, device-centric architectures provides sidelinks (SLs) for device-to-device (D2D) communications and enables information exchanges among different TNs, which could be utilized to enhance positioning [29].…”

Section: Introductionmentioning

confidence: 99%

Precise Positioning: When OTFS Meets Distributed Cooperative Positioning

emadi¹,

Hu²,

Wang³

2023

Preprint

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<p>Precision positioning plays critical roles in 5G-Advanced and 6G systems for various indoor and outdoor applications. Conventionally, positioning accuracy can be dramatically degraded under non-line-of-sight channels or with moving terminal nodes (TNs). To overcome this issue, we propose an orthogonal time-frequency space (OTFS) based positioning with applying distributed cooperative positioning (DCoP) at the ends of TNs, which can yield an ultra-most precise positioning. This is so, since the positioning with OTFS is robust against channel delays and Doppler spreads, and superior to conventional orthogonal frequency-division multiplexing (OFDM) based positioning. Further, DCoP uses cooperations such that TNs can serve as additional anchor nodes (ANs) to others, and improves the positioning accuracy for all. With this proposal, we further elaborate the positioning-reference-signal with OTFS (PRS-OTFS) in delay-Doppler (DD) domain, and design an OTFS-transceiver that is backward compatible to OFDM. Furthermore, we also propose a DD-domain time-of-arrival estimation algorithm that exploits the OTFS waveform and outperforms conventional time-frequency based estimators. Moreover, we propose a loopy belief-propagation algorithm associated with belief-discretizing for an effective implementation and message exchange in DCoP. In addition, we show that the average Cramer-Rao low-bound per TN can decrease faster than linearly in the number of cooperating TNs. We illustrate with simulations that the proposed OTFS-DCoP scheme is very effective in improving positioning accuracy within a few iterations, and robust against double-selective channels. </p>

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Cooperative Positioning System for Industrial IoT via mmWave Device-to-Device Communications

Cited by 7 publications

References 9 publications

Efficient Privacy Protection Protocols for 5G-Enabled Positioning in Industrial IoT

Efficient Privacy Protection Protocols for 5G-Enabled Positioning in Industrial IoT

Embedding the Localization and Imaging Functions in Mobile Systems: An Airport Surveillance Use Case

Precise Positioning: When OTFS Meets Distributed Cooperative Positioning

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