5G-PPP Automotive Working Group

A study on 5G V2X Deployment

Version 1.0, February 2018

更多

Date:

2018-02-22

Version:

1.0

收起

Collaborative Sensor Network Localization: Algorithms and

Practical Issues

Tensor Decomposition Based Beamspace ESPRIT

for Millimeter Wave MIMO Channel Estimation

Abstract—We propose a search-free beamspace tensor-ESPRIT

更多

algorithm for millimeter wave MIMO channel estimation. It is a

multidimensional generalization of beamspace-ESPRIT method

by exploiting the multiple invariance structure of the measurements.

Geometry-based channel model is considered to contain

the channel sparsity feature. In our framework, an alternating

least squares problem is solved for low rank tensor decomposition

and the multidimensional parameters are automatically associated.

The performance of the proposed algorithm is evaluated

by considering different transformation schemes.

Index Terms—Tensor decomposition, beamspace ESPRIT, millimeter

wave, MIMO, channel estimation

收起

Abstract—5G new radio (NR) provides new opportunities for

accurate positioning from a single reference station: large bandwidth

combined with multiple antennas, at both the base station

更多

and user sides, allows for unparalleled angle and delay resolution.

Nevertheless, positioning quality is affected by multipath and

clock biases. We study, in terms of performance bounds and

algorithms, the ability to localize a vehicle in the presence of

multipath and unknown user clock bias. We find that when

a sufficient number of paths is present, a vehicle can still be

localized thanks to redundancy in the geometric constraints.

Moreover, the 5G NR signals enable a vehicle to build up a

map of the environment.

收起

Impact of Rough Surface Scattering on Stochastic Multipath

Component Models

Downloaded from: https://research.chalmers.se, 2019-04-16 06:20 UTC

更多

Citation for the original published paper (version of record):

Kulmer, J., Wen, F., Garcia, N. et al (2018)

Impact of Rough Surface Scattering on Stochastic Multipath Component Models

[Source Title missing]: 1410-1416

http://dx.doi.org/10.1109/PIMRC.2018.8580964

N.B. When citing this work, cite the original published paper.

research.chalmers.se offers the possibility of retrieving research publications produced at Chalmers University of Technology.

It covers all kind of research output: articles, dissertations, conference papers, reports etc. since 2004.

research.chalmers.se is administrated and maintained by Chalmers Library

(article starts on next page)

收起

Research Article

Genetic Algorithm-Based Beam Refinement for Initial Access in

Millimeter Wave Mobile Networks

How connectivity is transforming the automotive ecosystem

This paper brings together both a technical and a business approach about the

introduction of wireless communications in vehicles and how this is affecting the

更多

automotive sector. It also provides complementary insights on how business opportunities

can affect the selection of different available wireless technologies. Different

perspectives on how the automotive sector is being transformed are also described.

KEYWORDS

5G, 802.11p, business ecosystem, connected vehicles, digital transformation, V2X

收起

Architecture and Enablers of 5G V2X Network Slice

for Reliable and Low-latency Communications

Abstract— This paper presents a set of architectural solutions

更多

for the connected car, by introducing a 5G V2X architecture

being able to work in multi-operator and multi-OEM scenarios.

5G technologies will enable vehicles to be connected to the

networks and also to be able to communicate with each other

with ultra-high reliability and very low latency. Leveraging such

kind of connectivity will enable disruptive new applications that

will allow improving driving efficiency and boosting road safety.

Objectives, use cases and results from the EC-funded 5GPPP

5GCAR project are presented, including a set of technology

components such as local end-to-end data paths, multi-link and

multi-RAT traffic flow and QoS management, location-aware

scheduling techniques, and 5G V2X Network Slicing.

Keywords—wireless communications; V2X; 5G QoS; Multi-

PLMN; Network slicing

收起