A survey on 5G massive MIMO localization

Wen, Fuxi; Wymeersch, Henk; Peng, Bile; Tay, Wee Peng; So, Hing Cheung; Yang, Diange

doi:10.1016/j.dsp.2019.05.005

Cited by 111 publications

(84 citation statements)

References 128 publications

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“…However, it is still at an early stage of deployment. Despite it already exits surveys on 5G-based positioning [119], IPS based on non-experimental 5G networks are not a reality yet. Thus, a survey in the topic will have higher value if it is created after the deployments of 5G networks and their support in modern smartphones notably increase.…”

Section: An Overview Of Ips Solutionsmentioning

confidence: 99%

A Meta-Review of Indoor Positioning Systems

Mendoza-Silva

Torres-Sospedra

Huerta

2019

Sensors

192

130

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An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor scenarios has been sought for many years. The number of technologies, techniques, and approaches in general used in IPS proposals is remarkable. Such diversity, coupled with the lack of strict and verifiable evaluations, leads to difficulties for appreciating the true value of most proposals. This paper provides a meta-review that performed a comprehensive compilation of 62 survey papers in the area of indoor positioning. The paper provides the reader with an introduction to IPS and the different technologies, techniques, and some methods commonly employed. The introduction is supported by consensus found in the selected surveys and referenced using them. Thus, the meta-review allows the reader to inspect the IPS current state at a glance and serve as a guide for the reader to easily find further details on each technology used in IPS. The analyses of the meta-review contributed with insights on the abundance and academic significance of published IPS proposals using the criterion of the number of citations. Moreover, 75 works are identified as relevant works in the research topic from a selection of about 4000 works cited in the analyzed surveys.

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Section: An Overview Of Ips Solutionsmentioning

confidence: 99%

A Meta-Review of Indoor Positioning Systems

Mendoza-Silva

Torres-Sospedra

Huerta

2019

Sensors

192

130

View full text Add to dashboard Cite

show abstract

“…Other ones, may use triangulation. This approach requires accurate Angle of Arrival (AoA) measurements, thus it is expected to be used in 5G systems utilizing massive MIMO (M-MIMO) technology [9]. Another interesting localization technique is utilization of radio frequency pattern matching (RFPM), called also fingerprinting.…”

Section: Related Workmentioning

confidence: 99%

“…Our target now is to introduce x ur into the double difference given by (9). Figure 4 depicts the single difference measurement UE (x u )-reference station (x r )-satellite geometry.…”

Section: Linear Model For Position Estimationmentioning

confidence: 99%

“…where el (i) is the satellite i elevation angle and az (i) is the satellite i azimuth angle. On the basis of the (19) r ij ur , from the double difference given by (9), can be expressed as…”

Section: Linear Model For Position Estimationmentioning

confidence: 99%

“…However, the implementation of REM requires accurate and robust localization information, firstly during data acquisition, and secondly when serving REM users. Localization can be achieved either by means of trilateration [6][7][8], triangulation [9], or fingerprinting [10]. However, the most suitable localization method for REM under outdoor and open-sky conditions is the Real Time Kinematics (RTK) [11] which is based on Global Navigation Satellite System (GNSS).…”

Section: Introductionmentioning

confidence: 99%

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Modeling of Real Time Kinematics localization error for use in 5G networks

Hoffmann

Kryszkiewicz

Koudouridis

2020

J Wireless Com Network

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In 5G networks information about localization of a user equipment (UE) can be used not only for emergency calls or location-based services, but also for the network optimization applications, e.g., network management or dynamic spectrum access by using Radio Environment Maps (REM). However, some of these applications require much better localization accuracy than currently available in 4G systems. One promising localization method is Global Navigation Satellite System (GNSS)-based Real-Time Kinematics (RTK). While the signal received from satellites is the same as in traditional GNSS, a new reception method utilizing real-time data from a nearby reference station (e.g., 5G base station) results in cm-level positioning accuracy. The aim of this paper is to obtain a model of the RTK localization error for smartphone-grade GNSS antenna under open-sky conditions, that can be used in 5G network simulators. First, a tutorial-style overview of RTK positioning, and satellite orbits prediction is provided. Next, an RTK localization simulator is implemented utilizing GNSS satellites constellations. Results are investigated statistically to provide a simple, yet accurate RTK localization error framework, which is based on two Gauss-Markov process generators parametrized by visible satellites geometry, UE motion, and UE-satellite distance error variance.

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Efficient Privacy Preserving Single Anchor Localization Using Noise-Adding Mechanism for Internet of Things

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A survey on 5G massive MIMO localization

Cited by 111 publications

References 128 publications

A Meta-Review of Indoor Positioning Systems

A Meta-Review of Indoor Positioning Systems

Modeling of Real Time Kinematics localization error for use in 5G networks

Efficient Privacy Preserving Single Anchor Localization Using Noise-Adding Mechanism for Internet of Things

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