532 research outputs found
Positioning of High-speed Trains using 5G New Radio Synchronization Signals
We study positioning of high-speed trains in 5G new radio (NR) networks by
utilizing specific NR synchronization signals. The studies are based on
simulations with 3GPP-specified radio channel models including path loss,
shadowing and fast fading effects. The considered positioning approach exploits
measurement of Time-Of-Arrival (TOA) and Angle-Of-Departure (AOD), which are
estimated from beamformed NR synchronization signals. Based on the given
measurements and the assumed train movement model, the train position is
tracked by using an Extended Kalman Filter (EKF), which is able to handle the
non-linear relationship between the TOA and AOD measurements, and the estimated
train position parameters. It is shown that in the considered scenario the TOA
measurements are able to achieve better accuracy compared to the AOD
measurements. However, as shown by the results, the best tracking performance
is achieved, when both of the measurements are considered. In this case, a very
high, sub-meter, tracking accuracy can be achieved for most (>75%) of the
tracking time, thus achieving the positioning accuracy requirements envisioned
for the 5G NR. The pursued high-accuracy and high-availability positioning
technology is considered to be in a key role in several envisioned HST use
cases, such as mission-critical autonomous train systems.Comment: 6 pages, 5 figures, IEEE WCNC 2018 (Wireless Communications and
Networking Conference
A hybrid optical-wireless network for decimetre-level terrestrial positioning
Global navigation satellite systems (GNSS) are widely used for navigation and
time distribution, features indispensable for critical infrastructure such as
mobile communication networks, as well as emerging technologies like automated
driving and sustainable energy grids. While GNSS can provide centimetre-level
precision, GNSS receivers are prone to many-metre errors due to multipath
propagation and obstructed view of the sky, which occur especially in urban
areas where accurate positioning is needed most. Moreover, the vulnerabilities
of GNSS, combined with the lack of a back-up system, pose a severe risk to
GNSS-dependent technologies. Here, we demonstrate a terrestrial positioning
system which is independent of GNSS and offers superior performance through a
constellation of radio transmitters, connected and time-synchronised at the
sub-nanosecond level through a fibre-optic Ethernet network. Employing optical
and wireless transmission schemes similar to those encountered in mobile
communication networks, and exploiting spectrally efficient virtual wideband
signals, the detrimental effects of multipath propagation are mitigated, thus
enabling robust decimetre-level positioning and sub-nanosecond timing in a
multipath-prone outdoor environment. This work provides a glimpse of a future
in which telecommunication networks provide not only connectivity, but also
GNSS-independent timing and positioning services with unprecedented accuracy
and reliability.Comment: 38 pages, 9 figures, 3 table
Processed 5G Signals Mathematical Models for Positioning considering a Non-Constant Propagation Channel
International audienceThe objective of this paper is to determine the ranging performance of the upcoming fifth generation (5G) signal. In order to do so, it is required to define 5G correlator outputs mathematical models. 5G systems will use OFDM (Orthogonal Frequency Division Multiplexing) signals; in the literature, mathematical models of OFDM signals are developed at the different receiver signal processing stages. These models assumed that the propagation channel is constant over an OFDM symbol; nevertheless, an in-depth study of QuaDRiGa, a 5G compliant propagation channel simulator, invalidates this hypothesis. Therefore, in this paper, mathematical models are developed that take into account the channel evolution. The focus is given on correlator outputs and results are applied to the computation of 5G based pseudo range accuracy
Performance analysis of time of arrival estimation on OFDM signals
This letter characterizes the error performance of realistically modelled orthogonal frequency division multiplexing (OFDM) signals, when their time of arrival has to be estimated in an additive white Gaussian noise channel. In particular, different power distributions on the available sub-carriers of the OFDM signal are considered, and bounds on the corresponding root mean square estimation error (RMSEE) are evaluated. The tools used for such purpose are the widely adopted Cram\ue9r-Rao bound and the Ziv-Zakai bound, which is tight in a wide range of signal-to-noise ratio (SNR) values. The presented analysis reveals that, for a given signal bandwidth, a proper power distribution on the OFDM sub-carriers is crucial for achieving a good performance in the low to medium SNR region, where the RMSEE curve exhibits the typical threshold behavior. Moreover, a trade-off between asymptotic and threshold performance is identified, thanks to the adoption of a novel performance figure, which directly describes the threshold RMSEE behavior
Location Estimation and Recovery using 5G Positioning: Thwarting GNSS Spoofing Attacks
The availability of cheap GNSS spoofers can prevent safe navigation and
tracking of road users. It can lead to loss of assets, inaccurate fare
estimation, enforcing the wrong speed limit, miscalculated toll tax, passengers
reaching an incorrect location, etc. The techniques designed to prevent and
detect spoofing by using cryptographic solutions or receivers capable of
differentiating legitimate and attack signals are insufficient in detecting
GNSS spoofing of road users. Recent studies, testbeds, and 3GPP standards are
exploring the possibility of hybrid positioning, where GNSS data will be
combined with the 5G-NR positioning to increase the security and accuracy of
positioning. We design the Location Estimation and Recovery(LER) systems to
estimate the correct absolute position using the combination of GNSS and 5G
positioning with other road users, where a subset of road users can be
malicious and collude to prevent spoofing detection. Our Location Verification
Protocol extends the understanding of Message Time of Arrival Codes (MTAC) to
prevent attacks against malicious provers. The novel Recovery and Meta Protocol
uses road users' dynamic and unpredictable nature to detect GNSS spoofing. This
protocol provides fast detection of GNSS spoofing with a very low rate of false
positives and can be customized to a large family of settings. Even in a
(highly unrealistic) worst-case scenario where each user is malicious with a
probability of as large as 0.3, our protocol detects GNSS spoofing with high
probability after communication and ranging with at most 20 road users, with a
false positive rate close to 0. SUMO simulations for road traffic show that we
can detect GNSS spoofing in 2.6 minutes since its start under moderate traffic
conditions
Positioning for the Internet of Things: A 3GPP Perspective
Many use cases in the Internet of Things (IoT) will require or benefit from
location information, making positioning a vital dimension of the IoT. The 3rd
Generation Partnership Project (3GPP) has dedicated a significant effort during
its Release 14 to enhance positioning support for its IoT technologies to
further improve the 3GPP-based IoT eco-system. In this article, we identify the
design challenges of positioning support in Long-Term Evolution Machine Type
Communication (LTE-M) and Narrowband IoT (NB-IoT), and overview the 3GPP's work
in enhancing the positioning support for LTE-M and NB-IoT. We focus on Observed
Time Difference of Arrival (OTDOA), which is a downlink based positioning
method. We provide an overview of the OTDOA architecture and protocols,
summarize the designs of OTDOA positioning reference signals, and present
simulation results to illustrate the positioning performance.Comment: 8 pages; 7 figures; 1 table; submitted for publicatio
Observed time difference of arrival based position estimation for LTE systems: simulation framework and performance evaluation
Precise user equipment (UE) location is paramount for the reliable operation of location-based services provided by mobile network operators and other emerging applications. In this paper, the Long Term Evolution (LTE) network positioning performance based on mobile assist Observed Time Difference of Arrival (OTDoA) method is considered. The received signal time difference (RSTD) measurements are estimated by the UE using dedicated position reference signal (PRS) transmitted in the downlink frame where the reported time measurements are used by the network for location calculation. A simulation framework for the position estimation in LTE networks is presented where the LTE downlink communication link is implemented. The correlation-based method for the time of arrival measurement is used for the implementation of OTDoA. The simulation framework provides different configurations and adjustments for the system and network parameters for evaluating the performance of LTE positioning using OTDoA over multipath fading channels. Different simulation scenarios are conducted to identify the influence of various parameters of LTE system and positioning procedure setup on the positioning accuracy. Simulation results demonstrated that the positioning accuracy is highly affected by the channel fading condition where the accuracy of time of arrival measurements is deteriorated in severe fading environments; however, the positioning accuracy can be significantly improved by increasing the positioning sequences involved in the estimation process either in the frequency domain or in the time domain
Observed time difference of arrival based position estimation for LTE systems: simulation framework and performance evaluation
Precise user equipment (UE) location is paramount for the reliable operation of location-based services provided by mobile network operators and other emerging applications. In this paper, the Long Term Evolution (LTE) network positioning performance based on mobile assist Observed Time Difference of Arrival (OTDoA) method is considered. The received signal time difference (RSTD) measurements are estimated by the UE using dedicated position reference signal (PRS) transmitted in the downlink frame where the reported time measurements are used by the network for location calculation. A simulation framework for the position estimation in LTE networks is presented where the LTE downlink communication link is implemented. The correlation-based method for the time of arrival measurement is used for the implementation of OTDoA. The simulation framework provides different configurations and adjustments for the system and network parameters for evaluating the performance of LTE positioning using OTDoA over multipath fading channels. Different simulation scenarios are conducted to identify the influence of various parameters of LTE system and positioning procedure setup on the positioning accuracy. Simulation results demonstrated that the positioning accuracy is highly affected by the channel fading condition where the accuracy of time of arrival measurements is deteriorated in severe fading environments; however, the positioning accuracy can be significantly improved by increasing the positioning sequences involved in the estimation process either in the frequency domain or in the time domain
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Contextually and identity aware 5G services
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University LondonThe fifth generation (5G) mobile networks aim to be ten times faster than the existing 4G connection, whilst providing low latency, and flexibility. Hence, various alterations are planned to the existing network infrastructure to be able to reach the 5G expected performance levels. The main technologies that were used, to ensure high performance, flexible network, and efficient resource allocation, are Software Defined Network and Network Function Virtualization. As these technologies are replacing the device-based architecture with, a service-based architecture.
This thesis provides a design of location database interactive web interface and interactive mobile application. The implementation of real time video streaming location server, the streaming system's performance parameters demonstrated a high level of QoS (0.07ms jitter and 9.53ms delay). In regard to experimental examination, it measured the localisation coverage, accuracy measurements and a highly scalable security solution. The localisation coverage and accuracy measurements were achieved through the mmWave and VLC link transmitters. The proposed simulated annealing algorithm aimed at data optimisation for location measurements accuracy showed results of the average location error of x and y which showed significant improvement from x= 22.5 and y=21.6 to x=11.09 and y= 11.63.
The proposed indoor location security solution showed significant results, as it provides a high scalability solution using the VNF. The solution showed that it was not 100% effective, as some of the fake discover packets still reached the DHCP server. This was due to the high load of traffic passing through the network. Nonetheless, 90% of the fake DHCP discover packets never reached the DHCP server because the scripts began blocking all fake discover packets after realising it was an attack. This conveys that the proposed system was able to run successfully without crashing or overloading the controller.
Overall, the main challenges facing 5G have been addressed with their proposed solutions, which showed promising results. Conclusively showing that there is a lot more space for technological advancements to support the future of mobile networks.European Union’s Horizon 2020 research program - the Internet of Radio-Light (IoRL) project H2020-ICT 761992
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