1,016 research outputs found
Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna Arrays
Massive MIMO (multiple-input multiple-output) is no longer a "wild" or
"promising" concept for future cellular networks - in 2018 it became a reality.
Base stations (BSs) with 64 fully digital transceiver chains were commercially
deployed in several countries, the key ingredients of Massive MIMO have made it
into the 5G standard, the signal processing methods required to achieve
unprecedented spectral efficiency have been developed, and the limitation due
to pilot contamination has been resolved. Even the development of fully digital
Massive MIMO arrays for mmWave frequencies - once viewed prohibitively
complicated and costly - is well underway. In a few years, Massive MIMO with
fully digital transceivers will be a mainstream feature at both sub-6 GHz and
mmWave frequencies. In this paper, we explain how the first chapter of the
Massive MIMO research saga has come to an end, while the story has just begun.
The coming wide-scale deployment of BSs with massive antenna arrays opens the
door to a brand new world where spatial processing capabilities are
omnipresent. In addition to mobile broadband services, the antennas can be used
for other communication applications, such as low-power machine-type or
ultra-reliable communications, as well as non-communication applications such
as radar, sensing and positioning. We outline five new Massive MIMO related
research directions: Extremely large aperture arrays, Holographic Massive MIMO,
Six-dimensional positioning, Large-scale MIMO radar, and Intelligent Massive
MIMO.Comment: 20 pages, 9 figures, submitted to Digital Signal Processin
Architecture, Protocols, and Algorithms for Location-Aware Services in Beyond 5G Networks
The automotive and railway industries are rapidly transforming with a strong
drive towards automation and digitalization, with the goal of increased
convenience, safety, efficiency, and sustainability. Since assisted and fully
automated automotive and train transport services increasingly rely on
vehicle-to-everything communications, and high-accuracy real-time positioning,
it is necessary to continuously maintain high-accuracy localization, even in
occlusion scenes such as tunnels, urban canyons, or areas covered by dense
foliage. In this paper, we review the 5G positioning framework of the 3rd
Generation Partnership Project in terms of methods and architecture and propose
enhancements to meet the stringent requirements imposed by the transport
industry. In particular, we highlight the benefit of fusing cellular and sensor
measurements and discuss required architecture and protocol support for
achieving this at the network side. We also propose a positioning framework to
fuse cellular network measurements with measurements by onboard sensors. We
illustrate the viability of the proposed fusion-based positioning approach
using a numerical example.Comment: 7 pages, 5 figures, accepted for publication in IEEE Communications
Standards Magazin
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