Location-Aided Multi-User Beamforming for 60 GHz WPAN Systems

Han, Congzheng; Zhu, Xiaoyi; Doufexi, Angela; Koçak, Taşkın

doi:10.1109/vetecs.2012.6239978

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…Note that G denotes the transmit array gain in a direction θ T , while R θ , R φ , T θ , and T φ are the information contents related to the spatial aspects of the received signal and correspond to θ R , φ R , θ T , and φ T , excluding the SNR, i.e., the integrands in (10). Similarly, V θ , V φ , X θ,φ , and Y θ,φ respectively represent the mutual spatial information between θ T and β, φ T and β, θ R and φ R , and θ T and φ T .…”

Section: Fim Of Single-path Mmwave Channel Parametersmentioning

confidence: 99%

“…where KR,m and PR,m are as defined in (III-A). KT,m and PT,m are defined similarly by replacing the subscript R by T. Defining γ N R N T N s E s /N 0 , then for 1 ≤ u, v ≤ M , from (10) we write…”

Section: Appendix a Exact Channel Parameters Fim Submatricesmentioning

confidence: 99%

“…This work is partly supported by the Horizon2020 project HIGHTS (High precision positioning for cooperative ITS applications) MG-3.5a-2014-636537, the VINNOVA COPPLAR project, funded under Strategic Vehicle Research and Innovation Grant No. 2015-04849, the Australian Government's Research Training Program (RTP) and the Spanish Grant TEC2014-53656-R arXiv:1704.03234v2 [cs.IT] 4 Mar 2018 and effectiveness in different aspects such as resource allocation [9], beamforming [10], [11], and pilot assignment [12]. Therefore, the study of positioning in 5G mmWave systems becomes specially imperative.…”

Section: Introductionmentioning

confidence: 99%

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Error Bounds for Uplink and Downlink 3D Localization in 5G Millimeter Wave Systems

Abu‐Shaban

Zhou

Abhayapala

et al. 2018

IEEE Trans. Wireless Commun.

196

181

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Location-aware communication systems are expected to play a pivotal part in the next generation of mobile communication networks. Therefore, there is a need to understand the localization limits in these networks, particularly, using millimeter-wave technology (mmWave). Towards that, we address the uplink and downlink localization limits in terms of 3D position and orientation error bounds for mmWave multipath channels. We also carry out a detailed analysis of the dependence of the bounds on different system parameters. Our key findings indicate that the uplink and downlink behave differently in two distinct ways. First of all, the error bounds have different scaling factors with respect to the number of antennas in the uplink and downlink. Secondly, uplink localization is sensitive to the orientation angle of the user equipment (UE), whereas downlink is not. Moreover, in the considered outdoor scenarios, the non-line-of-sight paths generally improve localization when a line-of-sight path exists. Finally, our numerical results show that mmWave systems are capable of localizing a UE with sub-meter position error, and sub-degree orientation error. communications [7], assisted living applications [8], or to support the communication robustness and effectiveness in different aspects such as resource allocation [9], beamforming [10], [11], and pilot assignment [12]. Therefore, the study of positioning in 5G mmWave systems becomes specially imperative. Due to the use of directional beamforming in mmWave, in addition to the UE position also the UE orientation plays an important role in location-aided systems.Conventionally position information is obtained by GPS, though this has several limitations.Most importantly, GPS suffers from degraded performance in outdoor rich-scattering scenarios and urban canyons, and may fail to provide a position fix for indoor scenarios. Even in good conditions, GPS positioning accuracy ranges between 1-5 meters. To address these limitations, there has been intense research on competing radio-based localization technologies. To understand the fundamental behavior of any technology, the Cramér-Rao lower bound (CRLB)[13] or related bounds can be used. The CRLB provides a lower bound on the variance of an unbiased estimator of a certain parameter. The square-root of the CRLB of the position and the orientation are termed the position error bound (PEB), and the orientation error bound (OEB), respectively. PEB and OEB can be computed indirectly by transforming the bounds of the channel parameters, namely: directions of arrival (DOA), directions of departure (DOD), and time of arrival (TOA). For conventional MIMO systems, the bounds of the 2D channel parameters are derived in [14], based on received digital signals and uniform linear arrays (ULA), while bounds are derived in [15] based on 3D channel matrix with no transmit beamforming. It was found that having more transmit and receive antennas is beneficial for estimating the DOA and DOD. In both [14], [15] beamforming was not considered. The b...

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Section: Fim Of Single-path Mmwave Channel Parametersmentioning

confidence: 99%

Section: Appendix a Exact Channel Parameters Fim Submatricesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Error Bounds for Uplink and Downlink 3D Localization in 5G Millimeter Wave Systems

Abu‐Shaban

Zhou

Abhayapala

et al. 2018

IEEE Trans. Wireless Commun.

196

181

View full text Add to dashboard Cite

show abstract

“…Several approaches have been proposed during the last few decades to address the challenges of indoor localization however most of them only estimate positions on a horizontal (x − y) plane and many times neglect the vertical (z) dimension. This lack of vertical information could lead into problems, such as the inability to determine whether a device is held up high or in a pocket etc., while accurate 3D positioning is also critical in scenarios such as drone-assisted crop seeding, search and rescue operations, and wireless communication [1], where sub-meter or cm-level accuracy is likely essential.…”

Section: Introductionmentioning

confidence: 99%

Radar-Based Millimeter-Wave Sensing for Accurate 3-D Indoor Positioning: Potentials and Challenges

Sesyuk,

Ioannou,

Raspopoulos

2024

J. Ind. Sea. Pos. Nav.

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The 3D nature of modern smart applications has imposed significant 3D positioning accuracy requirements, especially in indoor environments. However, a major limitation of most existing indoor localization systems is their focus on estimating positions mainly in the horizontal plane, overlooking the crucial vertical dimension. This neglect presents considerable challenges in accurately determining the 3D position of devices such as drones and individuals across multiple floors of a building let alone the cmlevel accuracy that might be required in many of these applications. To tackle this issue, millimeter-wave (mmWave) positioning systems have emerged as a promising technology offering high accuracy and robustness even in complex indoor environments. This paper aims to leverage the potential of mmWave radar technology to achieve precise ranging and angling measurements presenting a comprehensive methodology for evaluating the performance of mmWave sensors in terms of measurement precision while demonstrating the 3D positioning accuracy that can be achieved. The main challenges and the respective solutions associated with the use of mmWave sensors for indoor positioning are highlighted, providing valuable insights into their potentials and suitability for practical applications.

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“…In most of these cases, accuracy better than sub-meter level is required to avoid crashing the UAV on obstacles. Precise 3D positioning can also find applications in supporting wireless communication and effectiveness in antenna orientation and beamforming [ 11 ], pilot assignment [ 12 ], channel prediction and resource allocation [ 13 ]. Furthermore, due to the rapid increase in the world’s population, not only are buildings nowadays built upwards (skyscrapers), but also road traffic in cities is increasing, which will eventually lead to development of self-driving underground cities in the form of tunnels where GPS will no longer be able to provide localization and navigation.…”

Section: Introductionmentioning

confidence: 99%

A Survey of 3D Indoor Localization Systems and Technologies

Sesyuk

Ioannou

Raspopoulos

2022

Sensors

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Indoor localization has recently and significantly attracted the interest of the research community mainly due to the fact that Global Navigation Satellite Systems (GNSSs) typically fail in indoor environments. In the last couple of decades, there have been several works reported in the literature that attempt to tackle the indoor localization problem. However, most of this work is focused solely on two-dimensional (2D) localization, while very few papers consider three dimensions (3D). There is also a noticeable lack of survey papers focusing on 3D indoor localization; hence, in this paper, we aim to carry out a survey and provide a detailed critical review of the current state of the art concerning 3D indoor localization including geometric approaches such as angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), fingerprinting approaches based on Received Signal Strength (RSS), Channel State Information (CSI), Magnetic Field (MF) and Fine Time Measurement (FTM), as well as fusion-based and hybrid-positioning techniques. We provide a variety of technologies, with a focus on wireless technologies that may be utilized for 3D indoor localization such as WiFi, Bluetooth, UWB, mmWave, visible light and sound-based technologies. We critically analyze the advantages and disadvantages of each approach/technology in 3D localization.

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Location-Aided Multi-User Beamforming for 60 GHz WPAN Systems

Cited by 6 publications

References 5 publications

Error Bounds for Uplink and Downlink 3D Localization in 5G Millimeter Wave Systems

Error Bounds for Uplink and Downlink 3D Localization in 5G Millimeter Wave Systems

Radar-Based Millimeter-Wave Sensing for Accurate 3-D Indoor Positioning: Potentials and Challenges

A Survey of 3D Indoor Localization Systems and Technologies

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