A5047769213- Indoor and Outdoor Localization Technologies
- Advanced MIMO Systems Optimization
- Millimeter-Wave Propagation and Modeling
- Target Tracking and Data Fusion in Sensor Networks
- Sparse and Compressive Sensing Techniques
- Underwater Vehicles and Communication Systems
- Energy Efficient Wireless Sensor Networks
- Microwave Engineering and Waveguides
- IoT Networks and Protocols
- Telecommunications and Broadcasting Technologies
- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Advanced Wireless Communication Techniques
- Robotics and Sensor-Based Localization
- Power Line Communications and Noise
- Microwave Imaging and Scattering Analysis
- Distributed Sensor Networks and Detection Algorithms
- Advanced Wireless Communication Technologies
- Underwater Acoustics Research
- Satellite Communication Systems
- UAV Applications and Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Graph theory and applications
- Antenna Design and Optimization
- Complex Network Analysis Techniques
University of Oulu
2011-2020
King's College London
2018-2020
5G technologies present a new paradigm to provide connectivity vehicles, in support of high data-rate services, complementing existing inter-vehicle communication standards based on IEEE 802.11p. As we argue, the specific signal characteristics turn out be highly conducive for vehicle positioning. Hence, can work synergy with on-vehicle positioning and mapping systems redundancy certain applications, particular automated driving. This article provides an overview evolution cellular discusses...
Wireless engineers and business planners commonly raise the question on where, when, how millimeter-wave (mmWave) will be used in 5G beyond. Since next generation network is not just a new radio access standard, but also an integration of networks for vertical markets with diverse applications, answers to depend scenarios use cases deployed. This paper gives four mmWave deployment examples describes chronological order their probable deployment, including expected system architectures...
Millimeter-wave (mm-wave) signals and large antenna arrays are considered enabling technologies for future 5G networks. While their benefits achieving high-data rate communications well-known, potential advantages accurate positioning largely undiscovered. We derive the Cramér-Rao bound (CRB) on position rotation angle estimation uncertainty from mm-wave a single transmitter, in presence of scatterers. also present novel two-stage algorithm that attains CRB average to high signal-to-noise...
Millimeter wave and massive MIMO are considered enabling technologies for future 5G networks. While their benefits achieving high-data rate communications well- known, potential advantages accurate positioning largely undiscovered. We derive sufficient conditions under which transmission from a single mm-wave base station leads to non- singular Fisher information matrix associated with the position orientation of user terminal equipped multiple antennas, is in turn prerequisite joint...
Motivated by the recent advances on internet of things (IoT) and importance that location information has many application scenarios, this article offers references to theoretical localization-algorithmic tools can be utilised in connection with IoT. We develop discussion from basic sophisticated localization techniques covering also some less-intuitive notions localization, e.g. semantic positioning, for which we provide a novel solution overcome problem privacy. analyze mathematical...
Millimeter wave (mmW) communication systems have the potential to increase data rates with low-latency, highly directional links. Due geometric nature of propagation, mmW signals can also be used for accurate positioning. This paper explores trade-off between rate and positioning quality in systems. We show how interact as a function bandwidth, number antennas, receiver location.
We propose a method for accurate estimation of the User Equipment (UE) position and antenna orientation. For this, we exploit sparsity mm-wave channel, employ compressive sensing approach with iterative refinement steps channel parameters, including departure arrival angles as well time-of-arrival each observed propagation path. Based on estimated formulate an Gibbs sampler to obtain statistical descriptions unknown UE orientation along scatterer positions, even in absence Line-Of-Sight
This paper focuses on the exploitation of fifth generation (5G) centimetre-wave (cmWave) and millimetre-wave (mmWave) transmissions for high-accuracy positioning, in order to complement availability Global Navigation Satellite Systems (GNSS) harsh environments, such as urban canyons. Our goal is present a representative methodology simulate assess their hybrid positioning capabilities over outdoor urban, suburban rural scenarios. A novel scenario definition proposed integrate network density...
The future of industrial applications is shaped by intelligent moving IoT devices, such as flying drones, advanced factory robots, and connected vehicles, which may operate (semi-)autonomously. In these challenging scenarios, dynamic radio connectivity at high frequencies, augmented with timely positioning-related information, becomes instrumental to improve communication performance facilitate efficient computation offloading. Our work reviews the main research challenges reveals open...
The 5G CHAMPION Consortium will provide the first fully integrated and operational prototype in 2018 - this effort is a major leap ahead compared to existing punctual technology trials, such as, e.g., Proof-of-Concept platforms focusing on mmWave communication specific bands, etc. This paper describes overall set-up including synergetic combination of technologies as beamforming based & Satellite service provisioning, virtualized infrastructure, software reconfiguration across entire stack,...
We consider the source and network localization problems, seeking to strengthen relationship between Weighted-Least-Square (WLS) Maximum-Likelihood (ML) solutions of these problems. To this end, we design an optimization algorithm for under principle that: a) WLS ML objectives should be same; b) solution ML-WLS objective does not depend on any information besides set given distance measurements (observations). The proposed Range-Global Distance Continuation (R-GDC) solves problems via...
Millimeter wave communication is one of the main disruptive technologies in upcoming 5G mobile networks. One first candidate applications, which will be commercially ready by 2020, wireless backhaul links or last mile communication. This paper provides an analysis this use-case from radio engineering and implementation perspectives. Furthermore, preliminary experimental results are shown for a proof-of-concept solution developed within EU-KR 5GCHAMPION project, showcased during 2018 Winter...
The 5GCHAMPION Europe–Korea collaborative project provides the first fully-integrated and operational 5G prototype in 2018, conjunction with 2018 PyeongChang Winter Olympic Games. corresponding technological advances comprise both an evolution optimization of existing solutions disruptive new features, which substantially outpace previous generations technology. In this article, we focus on a subset three developed experimented by during Games: high speed communications, direct...
Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. Despite their benefits achieving high data rate communications, potential advantages tracking of the location user terminals largely undiscovered. In this paper, we propose a novel support detection-based channel training method frequency selective millimeter-wave (mm-wave) multiple-input-multiple-output system with lens arrays. We show that accurate position orientation estimation...
With the emergence of new 5G radio networks, high-accuracy positioning solutions are becoming extensively more important for numerous 5G-enabled applications and resource management tasks. In this paper, we focus on mm-wave systems, propose a method estimation User Equipment (UE) position antenna orientation. Based sparsity channel, utilize compressive sensing approach estimating departure arrival angles as well time-of-arrival each observed propagation path. After this, in order to obtain...
We propose a robust non-parametric strategy to weight scarce and imperfect ranging information, which is shown significantly improve the accuracy of distance-based network localization algorithms. The proposed weights have dispersion component, captures effect noise under assumption bias-free samples, penalty quantifies risk latter penalizes it proportionally. result from application small-scale statistics with confidence bounds optimized maximum entropy criterion that mathematizes empirical...
The paper presents simulated and measured results of a large millimeter-wave antenna array, designed by keeping mind the particular interests for proof concepts in 5G demonstrations South-Korean Winter Olympics 2018. array consist 16 (2x8) unit cells, each having four (2x2) linearly polarized patch elements exited with same amplitude phase. desired -10 dB impedance bandwidth is from 25.65 GHz to 27.50 GHz, proposed structure achieves lower than -30 mutual coupling between cells. presented...
We consider the simultaneous localization of multiple sources from distance and angle information. An extension multidimensional scaling (MDS) technique is given, which allows for both information to be processed algebraically (without iteration) simultaneously. Simulations demonstrate superiority super MDS algorithm compared conventional metric MDS, relies only on Euclidean distances, illustrate impact that may have accuracy source localization. advantage method under an absolute coordinate...
We employ the semidefinite programming (SDP) framework to first analyze, and then solve, problem of flip-ambiguity afflicting range-based network localization algorithms with incomplete ranging information. First, we study occurrence flip-ambiguous nodes errors due flip ambiguity by considering random topologies successively smaller connectivity ranges R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Max</sub> > - ¿R ¿...
Millimeter-wave communication is considered one of the key enablers for 5G systems as it contributes to achieving high data rate with very wideband transmission, beamforming gain and massive MIMO techniques. Further, millimeter-wave technology can also be used accurate positioning. However, yet unclear how positioning share resources flexibly fulfill data-rate quality-of-position requirements, especially, in multiuser scenarios. In this regard, objective paper investigate quantify trade-off...
We consider a novel positioning solution combining millimeter wave (mmW) 5G and Global Navigation Satellite System (GNSS) technologies. The study is carried out theoretically by deriving the Fisher Information Matrix (FIM) of combined 5G-GNSS system and, subsequently, position, rotation clock-bias error lower bounds. pursue two-step approach, namely, computing first FIM for channel parameters, then transforming it into clock-bias. analysis shows advantages hybrid in terms i) localization...
High throughput and ultra low latency are the main requirements for fifth generation (5G) mobile broadband communications. Densely populated urban environments require utilization of previously underutilized millimeter wave frequency spectrum higher data rates. The Ka-band, used in satellite applications, is particular interest to terrestrial 5G networks. New radio solutions required these frequencies, such as multiple wireless base stations organized small cells highly directional antennas...
Time delay rather then throughput, is a constraint of greater importance in tracking systems. In particular, the maximum accces permissible by application ins strongly related to dynamics theracked objects. The purpose this article study performance new media access control (MAC) technology specifically suited for LDR UWB systems [3] under point view application. Specifically, time necessary collect ranging information both, star and meshed topology networks, have been studied as function...
Recent results have revealed that massive multiple-input-multiple-output (MIMO) channels exhibit a sparse structure. In this paper, we leverage feature into the development of novel channel estimation algorithm, namely, Adaptive-Least Absolute Shrinkage and Selection Operator (A-LASSO), in which sparsifying matrix (dictionary) vector are jointly optimized. The key ingredients our approach are: continuous model dictionary randomized optimization alternates with classic basis-pursuit denoising...