6G White Paper on Localization and Sensing

Bourdoux, André; Barreto, André Noll; Liempd, Barend van; Lima, Carlos H. M. de; Dardari, Davide; Belot, Didier; Lohan, Elena Simona; Seco‐Granados, Gonzalo; Sarieddeen, Hadi; Wymeersch, Henk; Suutala, Jaakko; Saloranta, Jani; Guillaud, Maxime; Isomursu, Minna; Valkama, Mikko; Aziz, Muhammad Reza Kahar; Berkvens, Rafael; Sanguanpuak, Tachporn; Svensson, Tommy; Miao, Yang

doi:10.48550/arxiv.2006.01779

Cited by 34 publications

(50 citation statements)

References 58 publications

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“…1) Safe and Reliable Operation of UAVs: Large antenna arrays in small sizes at THz can enable cm-level localization accuracy and sensing solutions with finer range Doppler and angular resolutions [9]. Thus, THz-empowered UAVs possess the capability of accurate localization and sensing which can facilitate the instantaneous perception of the environment.…”

Section: Selected Use Cases and Opportunitiesmentioning

confidence: 99%

THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs

Solanki¹,

Chatzinotas²,

Bennis³

2022

Preprint

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Envisioned use cases of unmanned aerial vehicles (UAVs) impose new service requirements in terms of data rate, latency, and sensing accuracy, to name a few. If such requirements are satisfactorily met, it can create novel applications and enable highly reliable and harmonized integration of UAVs in the 6G network ecosystem. Towards this, terahertz (THz) bands are perceived as a prospective technological enabler for various improved functionalities such as ultra-high throughput and enhanced sensing capabilities. This paper focuses on THzempowered UAVs with the following capabilities: communication, sensing, localization, imaging, and control. We review the potential opportunities and use cases of THz-empowered UAVs, corresponding novel design challenges, and resulting trade-offs. Furthermore, we overview recent advances in UAV deployments regulations, THz standardization, and health aspects related to THz bands. Finally, we take UAV to UAV (U2U) communication as a case-study to provide numerical insights into the impact of various system design parameters and environment factors.

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Section: Selected Use Cases and Opportunitiesmentioning

confidence: 99%

THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs

Solanki¹,

Chatzinotas²,

Bennis³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…From (10b), the VLoS channel angle parameters 𝜃 (𝑡) U,𝑖 corresponding to different RISs constitute the line spectrum of the received signal. With the geometric constraint in (7), the conditional probability density function (pdf) 𝑝(𝜃 (𝑡) U,𝑖 |p (𝑡) U ) is represented as…”

Section: Probabilistic Problem Formulationmentioning

confidence: 99%

“…The BCRB acts as a benchmark of our tracking algorithm. Considering the geometric constraint in (7), we take a parameter set in the time slot 𝑡 as…”

Section: Bayesian Cramér Rao Boundmentioning

confidence: 99%

“…Our proposed algorithm considers the temporal correlation of the user position by building a probability model over time. The iterative message passing between the AoA estimation module and the position tracking module utilizes the geometric constraint in (7) which makes the estimation performance close to the BCRB.…”

Section: Tracking and Estimation Performancementioning

confidence: 99%

“…High-precision localization, as a critical issue in sensing, shows great potential needs in the emerging 6G application scenarios such as internet of vehicles (IoV), augmented reality (AR), virtual reality (VR), unmanned aerial vehicle (UAV) communications, etc [6]- [8]. With large antenna array and broad spectrum bandwidth, 6G communication signals enable high resolution in the angular and delay domains, which makes possible high-precision localization based on radio signals [1]- [3], [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems

Teng,

Yuan,

Wang

et al. 2021

Preprint

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In this paper, we study the user localization and tracking problem in the reconfigurable intelligent surface (RIS) aided multiple-input multiple-output (MIMO) system, where a multi-antenna base station (BS) and multiple RISs are deployed to assist the localization and tracking of a multi-antenna user. By establishing a probability transition model for user mobility, we develop a message-passing algorithm, termed the Bayesian user localization and tracking (BULT) algorithm, to estimate and track the user position and the angle-of-arrival (AoAs) at the user in an online fashion. We also derive Bayesian Cramér Rao bound (BCRB) to characterize the fundamental performance limit of the considered tracking problem. To improve the tracking performance, we optimize the beamforming design at the BS and the RISs to minimize the derived BCRB. Simulation results show that our BULT algorithm can perform close to the derived BCRB, and significantly outperforms the counterpart algorithms without exploiting the temporal correlation of the user location.

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Channel reconfiguration for intelligent reflecting surface‐aided vehicular networks

Wang,

Cui

et al. 2023

Trans Emerging Tel Tech

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Intelligent reflecting surface (IRS) has been recognized as one of the core technologies in the sixth generation (6G). Nevertheless, the character of channel state rapid change is a major problem in vehicular networks due to the dynamic vehicle movement and electromagnetic wave random scattering. In order to address the above problem, a strategy that joint phase shifts and channel alignment (PS‐CA) is proposed to reduce Doppler shift impact and improve communication performance in IRS‐aided vehicular networks. In this article, the channels can be divided into two types: the one type is the cascaded channel from the base station (BS) to the IRS and then to the vehicle; the other one is the direct channel from the BS to the vehicle. Thus, the proposed PS‐CA strategy can be divided into two stages. In the first stage, the cascaded channel fast fading state is reduced by designing IRS reflection phase shifts. In the second stage, considering the phase difference between the direct channel and the cascaded channel, we designed a correction function to align the direct channel with the cascaded channel. Then, we combined the designed correction function with IRS reflection phase shifts to reduce the impact of the direct channel fast fading state on overall performance. Simulation results demonstrate that compared to the RPS strategy, the PS‐CA strategy achieves higher spectral efficiency by 31.5.

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6G White Paper on Localization and Sensing

Cited by 34 publications

References 58 publications

THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs

THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs

Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems

Channel reconfiguration for intelligent reflecting surface‐aided vehicular networks

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