5G NR-V2X: Towards Connected and Cooperative Autonomous Driving

This paper is concerned with the key features and fundamental technology components for 5G New Radio (NR) for genuine realization of connected and cooperative autonomous driving. We discuss the major functionalities of physical layer, Sidelink features and its resource allocation, architecture flexibility, security and privacy mechanisms, and precise positioning techniques with an evolution path from existing cellular vehicle-to-everything (V2X) technology towards NR-V2X. Moreover, we envisage and highlight the potential of machine learning for further enhancement of various NR-V2X services. Lastly, we show how 5G NR can be configured to support advanced V2X use cases in autonomous driving

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety

5G promises many new vertical service areas beyond simple communication and data transfer. We propose CPCL (cooperative passive coherent location), a distributed MIMO radar service, which can be offered by mobile radio network operators as a service for public user groups. CPCL comes as an inherent part of the radio network and takes advantage of the most important key features proposed for 5G. It extends the well-known idea of passive radar (also known as passive coherent location, PCL) by introducing cooperative principles. These range from cooperative, synchronous radio signaling, and MAC up to radar data fusion on sensor and scenario levels. By using software-defined radio and network paradigms, as well as real-time mobile edge computing facilities intended for 5G, CPCL promises to become a ubiquitous radar service which may be adaptive, reconfigurable, and perhaps cognitive. As CPCL makes double use of radio resources (both in terms of frequency bands and hardware), it can be considered a green technology. Although we introduce the CPCL idea from the viewpoint of vehicle-to-vehicle/infrastructure (V2X) communication, it can definitely also be applied to many other applications in industry, transport, logistics, and for safety and security applications

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

5g new radio performance assessment

Abstract. Each decade, a new generation of wireless cellular technology presents a step-change in what cellular wireless systems can do compared to the previous generation. It is the beginning of new wireless technology in mobile phone networks called 5th Generation Mobile Phone Network (5G), a robust technology from its predecessors. 5G New Radio (5G NR) is the first step in adapting the 5G wireless technology to the existing cellular infrastructure. This thesis analyzes the 5G NR performance as part of the 5G test network (5GTN) deployed at the University of Oulu. The architecture of the 5GTN is a so-called non- standalone (NSA) network where the 4G Long-Term Evolution (4G-LTE) cellular network provides the control plane of the network. The performance of the 5G NR was obtained by measuring a few primary Key Performance Indicators (KPI) and data transmission measurements to observe the mobile network strength. This thesis first described the importance of 5G and its history, the deployment timeline, the basic architecture of adaption and synchronization process with the current mobile network, and future possibilities. After that, the main KPI parameters, deployed software, and the test case environment are described, and the 5GTN architecture is also covered. Later, the test results are presented, and lastly, a brief discussion of the outcome of the test result is provided. Finally, a comparison between the 5G NR BTS cells within the test environment network is provided. Performance measurements have been performed at the Linnanmaa campus of the University of Oulu and the surrounding premises under the 5GTN, the broadest open- access test network of 5G. The test cases were created during the time of field testing. The measurement key performance indicators (KPIs) have been carefully chosen for these test case scenarios, where the recorded result’s output were analyzed and represented clearly through this study. Data throughput tests have been performed parallelly during the field testing within the network to assess the 5G performance in terms of data rate. Along with the KPI parameter and throughput tests, there is a clear indication that 5G NR offers the fastest connection as part of the existing mobile network infrastructure

RF-MEMS Technology for High-Performance Passives (Second Edition) - 5G applications and prospects for 6G

The focus of this book develops around hardware, and in particular on low-complexity components for Radio Frequency (RF) applications. To this end, microsystem (MEMS) technology for RF passive components, known as RF-MEMS, is employed, discussing its potentialities in the application frame of 5G. The approach adopted is practical, and a significant part of the content can be directly used by scientists involved in the field, to put their hand on actual design, optimization and development of innovative RF passive components in MEMS technology for 5G and beyond applications. This update (which includes a review of the main approaches to the modelling and simulations of MEMS and RF-MEMS devices) is timely and will find a wider readership as it crosses into the translational aspects of applied research in the subject. Key features • With over 50 pages of new content, the book will be 1/3 larger than the 1st edition. • New chapter on simulation and modelling techniques. • Practical approach to the design and development of RF-MEMS design concepts for 5G and upcoming 6G. • Includes case studies. • Video figures. • Includes a review of the business landscape