618 research outputs found
Localization Optimal Multi-user Beamforming with multi-carrier mmWave MIMO
In this paper, we propose optimal beamforming strategies for a millimeter wave (mmWave) system consisting of multiple users based on the localization performance bounds. We consider a single base station (BS) with prior coarse knowledge of the users\u27 positions and formulate the optimal beamforming problem in order to minimize the localization error consisting of Cramer Rao Lower Bounds (CRLBs) of delay, angle of departure (AoD) and angle of arrival (AoA) estimation at the mobile users. We first formulate the simplified CRLB of estimation parameters, taking advantage of multiple sub-carriers, and then formulate the localization error for optimization of the beamformer. Finally, we evaluate the resulting position and orientation error bounds after optimization for several fairness strategies through Monte Carlo simulations
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
Throughput and Robustness Guaranteed Beam Tracking for mmWave Wireless Networks
With the increasing demand of ultra-high-speed wireless communications and
the existing low frequency band (e.g., sub-6GHz) becomes more and more crowded,
millimeter-wave (mmWave) with large spectra available is considered as the most
promising frequency band for future wireless communications. Since the mmWave
suffers a serious path-loss, beamforming techniques shall be adopted to
concentrate the transmit power and receive region on a narrow beam for
achieving long distance communications. However, the mobility of users will
bring frequent beam handoff, which will decrease the quality of experience
(QoE). Therefore, efficient beam tracking mechanism should be carefully
researched. However, the existing beam tracking mechanisms concentrate on
system throughput maximization without considering beam handoff and link
robustness. This paper proposes a throughput and robustness guaranteed beam
tracking mechanism for mobile mmWave communication systems which takes account
of both system throughput and handoff probability. Simulation results show that
the proposed throughput and robustness guaranteed beam tracking mechanism can
provide better performance than the other beam tracking mechanisms.Comment: Accepted by IEEE/CIC ICCC 201
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive View
The next-generation wireless technologies, commonly referred to as the sixth
generation (6G), are envisioned to support extreme communications capacity and
in particular disruption in the network sensing capabilities. The terahertz
(THz) band is one potential enabler for those due to the enormous unused
frequency bands and the high spatial resolution enabled by both short
wavelengths and bandwidths. Different from earlier surveys, this paper presents
a comprehensive treatment and technology survey on THz communications and
sensing in terms of the advantages, applications, propagation characterization,
channel modeling, measurement campaigns, antennas, transceiver devices,
beamforming, networking, the integration of communications and sensing, and
experimental testbeds. Starting from the motivation and use cases, we survey
the development and historical perspective of THz communications and sensing
with the anticipated 6G requirements. We explore the radio propagation, channel
modeling, and measurements for THz band. The transceiver requirements,
architectures, technological challenges, and approaches together with means to
compensate for the high propagation losses by appropriate antenna and
beamforming solutions. We survey also several system technologies required by
or beneficial for THz systems. The synergistic design of sensing and
communications is explored with depth. Practical trials, demonstrations, and
experiments are also summarized. The paper gives a holistic view of the current
state of the art and highlights the issues and challenges that are open for
further research towards 6G.Comment: 55 pages, 10 figures, 8 tables, submitted to IEEE Communications
Surveys & Tutorial
Link-level simulator for 5G localization
Channel-state-information-based localization in 5G networks has been a
promising way to obtain highly accurate positions compared to previous
communication networks. However, there is no unified and effective platform to
support the research on 5G localization algorithms. This paper releases a
link-level simulator for 5G localization, which can depict realistic physical
behaviors of the 5G positioning signal transmission. Specifically, we first
develop a simulation architecture considering more elaborate parameter
configuration and physical-layer processing. The architecture supports the link
modeling at sub-6GHz and millimeter-wave (mmWave) frequency bands.
Subsequently, the critical physical-layer components that determine the
localization performance are designed and integrated. In particular, a
lightweight new-radio channel model and hardware impairment functions that
significantly limit the parameter estimation accuracy are developed. Finally,
we present three application cases to evaluate the simulator, i.e.
two-dimensional mobile terminal localization, mmWave beam sweeping, and
beamforming-based angle estimation. The numerical results in the application
cases present the performance diversity of localization algorithms in various
impairment conditions
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