Achievable localization accuracy of the positioning reference signal of 3GPP LTE

Peral-Rosado, José A. del; López-Salcedo, José A.; Zanier, Francesca; Crisci, Massimo

doi:10.1109/icl-gnss.2012.6253127

Cited by 76 publications

(39 citation statements)

References 12 publications

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“…In contrast to our example above, we have plotted the graph versus the MT density D, as defined in Eq. (22). For all the considered cell sizes, the outage probability falls below 5 % for a MT density D > 1100 MTs /km 2 (MTs per square kilometer) ‡ .…”

Section: B Cooperative Positioningmentioning

confidence: 86%

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On prospects of positioning in 5G

Dammann

Raulefs

Zhang

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Technologies envisaged for a 5G communications system provide interesting prospects which are beneficial for cooperative positioning. Since 5G development is in the early stages, there is a unique opportunity to develop and integrate mobile radio based positioning technology in 5G from the beginning. In this paper we discuss 5G concepts to ensure seamless positioning by cooperative positioning. In cooperative positioning, mobile terminals (MTs) collaborate to help each other to determine their own position. We address key 5G prospects like smaller cells, higher MT densities and the capability of device-to-device (D2D) communication to enable cooperative positioning. By using the Cramér-Rao lower bound we investigate cooperative positioning performance for signal propagation delay based pseudo ranging in an exemplary typical urban environment. Numerical results for an exemplary environment have shown that with MT densities D > 1100 MTs per square kilometer sub-meter positioning accuracy with outage probabilities converging to zero can be achieved.

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Section: B Cooperative Positioningmentioning

confidence: 86%

“…Eq. (17) can be interpreted as the Fisher information for pseudo range estimation [22]. Here, S ,m ( f ) is the Fourier transform of signal s ,m (t) with bandwidth B = 1 T S .…”

Section: B Pseudo Rangingmentioning

confidence: 99%

On prospects of positioning in 5G

Dammann

Raulefs

Zhang

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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“…On the other hand, the major challenge for using SOOP lies in the fact that beacons are non-cooperative and robots typically have no knowledge of important information like beacon transmit power, transmit time, and signal waveforms. TDOA and FDOA provides a practical solution [40], since they can remove the ambiguity resulting from unknown transmit times or unknown signal waveforms. However, to the best of our knowledge, very few works has been done for robot localization using TDOA and FDOA.…”

Section: State-of-art Techniques For Robot Localizationmentioning

confidence: 99%

Fundamental Limits of Self-localization for Cooperative Robotic Platforms Using Signals of Opportunity

Leng

Tay

2015

Cooperative Robots and Sensor Networks 2015

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A fundamental problem in robotic applications is the localization of the robots. We consider the problem of global self-localization for a robotic platform with autonomous robots using signals of opportunity (SOOP). We first give a brief overview of the state-of-the-art in robotic localization using SOOP, and then propose a scheme that requires minimal prior environmental information, no pre-configuration, and only loose synchronization between the robots. To further analyze the potential for the use of SOOP in robotic localization and to investigate the effect of clock asynchronism, we derive an analytical expression for the equivalent Fisher information matrix of the Cramér-Rao lower bound (CRLB). The derivation is based on the received signal waveform, and allows us to analyze the contributions of various factors to the localization accuracy. The CRLB provides a valuable guideline for the design of a robotic platform in which a desired level of localization accuracy is to be achieved. We also analyze the distortions in the time difference of arrival and frequency difference of arrival measurements caused by different clock offsets and skews at the robots. We propose a robust algorithm to estimate robot location and velocity, which mitigates the clock biases. Simulation results suggest that our proposed algorithm approaches the CRLB when clock skews have small standard deviations.

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“…This ensures that the RT engine calculates an accurate channel SNR based on a real location of the UE within the cell propagation environment. Whether the localization strategy is UE-based, UE-assisted or network-based [29], we consider the fact that eNB is capable of acquiring the geographical information of the UE along its trip route for a certain time interval in a periodic manner. This information is then utilized by the RT engine to predict the UE's CSI along its registered route (or route section).…”

Section: B Proposed Ray Tracing-assisted Scheduling Systemmentioning

confidence: 99%

QoS-Aware Energy-Efficient Downlink Predictive Scheduler for OFDMA-Based Cellular Devices

Hammad

Primak

Kalil

et al. 2017

IEEE Trans. Veh. Technol.

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We propose a predictive energy efficient scheduling scheme which optimizes the user equipment's (UE's) bits/joule metric subject to quality of service (QoS) constraints in downlink orthogonal frequency division multiple access (OFDMA) systems. This is achieved through minimizing the number of wake-up transmission time intervals (TTIs) where the UE receiver circuit is ON, in a longer time horizon than studied before. The proposed predictive scheduler is supported by a ray tracing (RT) engine that increases the scheduler's knowledge by longterm information about the users' propagation characteristics. A convex mutli-objective binary integer programming (BIP) formulation for the problem is presented to optimize both of the UE's energy efficiency (EE) and QoS. The multi-objective formulation is then used for benchmarking of a low complexity and computationally efficient heuristic scheduler. The results show that the proposed schedulers have significantly improved the UE's EE and the overall capacity of the system compared to a recently published EE scheduling scheme while maintaining target QoS.

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Achievable localization accuracy of the positioning reference signal of 3GPP LTE

Cited by 76 publications

References 12 publications

On prospects of positioning in 5G

On prospects of positioning in 5G

Fundamental Limits of Self-localization for Cooperative Robotic Platforms Using Signals of Opportunity

QoS-Aware Energy-Efficient Downlink Predictive Scheduler for OFDMA-Based Cellular Devices

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