Anchorless Cooperative Tracking Using Multipath Channel Information

Kulmer, Josef; Leitinger, Erik; Grebien, Stefan; Witrisal, Klaus

doi:10.1109/twc.2018.2790936

Cited by 38 publications

(20 citation statements)

References 31 publications

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“…The extension in the case of multiple TNs was recently proposed in [159], where it is shown that the localization accuracy is improved by increasing the number of TNs with the increase of MPCs. In contrast to [159] where cooperation between TN was not considered, [173] demonstrated that by increasing the number of cooperative nodes the localization accuracy increases even without the existence of ANs.…”

Section: ) Exploitation Of Multipath Componentsmentioning

confidence: 70%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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Section: ) Exploitation Of Multipath Componentsmentioning

confidence: 70%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

View full text Add to dashboard Cite

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“…The type of R k depends on the scenario: with point scatterers (which were considered in the derivations in Section IV-C1), R k is the location of the scattering point, for reflecting surfaces, R k is a virtual anchor [119], [122] or virtual agent. Surfaces can also be described through a point and a vector (normal or parallel to the surface) [140]. Consider an example with two agents (UE1 and UE2) with a downlink transmission from a common reference station (BS), as well as a transmission from UE2 to UE1, and a single reflector (described by state R).…”

Section: ) Link Levelmentioning

confidence: 99%

Collaborative Sensor Network Localization: Algorithms and Practical Issues

Buehrer

Wymeersch

Vaghefi³

2018

Proc. IEEE

195

113

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Emerging communication network applications including 5G cellular and the Internet-of-Things (IoT) will almost certainly require location information at as many network nodes as possible. Given the energy requirements and lack of indoor coverage of GPS, collaborative localization appears to be a powerful tool for such networks. In this paper, we survey the state of the art in collaborative localization with an eye towards 5G cellular and IoT applications. In particular, we discuss theoretical limits, algorithms, and practical challenges associated with collaborative localization based on range-based as well as range-angle-based techniques.

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“…Also, the Hermitian transpose is denoted as H . Last but not least, the convolution of signal s (t) and diffuse reflection components ν (t) is applied to model the un-correlated scattering with the un-planar surfaces/obstacles of the environment [33], [34] (…”

Section: B Ul Positioningmentioning

confidence: 99%

Positioning-Aided 3D Beamforming for Enhanced Communications in mmWave Mobile Networks

Koivisto

Talvitie

et al. 2020

IEEE Access

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The extension from centimeter wave frequencies to millimeter wave (mmWave) frequencies has triggered an enormous transformation in terms of radio access architecture for future wireless networks, and it has therefore empowered unlimited opportunities for the user-oriented services and applications. Besides mmWave as a driving element, beamforming (BF) will be incorporated as a key enabling technology for the future wireless networks. In this paper, we propose a positioning-aided beamforming (PA-BF) framework for enhanced downlink communications in a cloud-oriented mmWave mobile networks. We show that the proposed PA-BF achieves a higher effective transmit ratio that is equivalent to a lower initial access latency than the conventional codebook-based BF, which in turn manifests its capability to support high-velocity mobile users. We also analyze the impact of positioning accuracies on the performance of PA-BF and discuss the trade-offs between different BF strategies with varied system parameters. Our simulation results demonstrate that, with a narrow beam phased array and reasonably good positioning accuracy, the PA-BF framework is capable of achieving higher spectral efficiency than the considered codebook-based BF especially at higher velocities. INDEX TERMS Exhaustive beamforming, millimeter wave mobile networks, positioning-aided beamforming, positioning-aided communications.

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Anchorless Cooperative Tracking Using Multipath Channel Information

Cited by 38 publications

References 31 publications

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Collaborative Sensor Network Localization: Algorithms and Practical Issues

Positioning-Aided 3D Beamforming for Enhanced Communications in mmWave Mobile Networks

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