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@PHDTHESIS{Wang:844695,
author = {Wang, Gaojian},
othercontributors = {Ascheid, Gerd and Negra, Renato},
title = {{O}ptimization of 100 {G}b/s short range wireless
transceivers under processing energy constraints},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2022-04126},
pages = {1 Online-Ressource : Illustrationen},
year = {2021},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2022; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2021},
abstract = {The current development of smart electronic devices (e.g.,
smartphones and tablets)and multimedia applications leads to
tremendous data traffic growth, which is anenormous
challenge for future wireless communication systems due to
the spectrumscarcity. In such a context, the 60 GHz band,
due to the several GHz of unlicensedbandwidth worldwide, is
a promising option to serve the ever-increasing demandsof
local and personal area networks for higher data rates and
higher spatial reuse.This dissertation’s subject is the
scientific investigation of new concepts for short-range
radio transceivers that work with carrier frequencies of 60
GHz and bandwidthbetween 1 and 10 GHz. For a given amount of
processing energy per information bit, the overall
powerconsumption increases with the data rate. When
targeting data rates beyond 100Gb/s, the system’s overall
power consumption soon exceeds the power which can
bedissipated without forced cooling. In order to achieve a
maximum data rate underthis power constraint, the processing
energy per information bit must be minimized. Therefore, in
this dissertation, a novel processing efficient
transmission scheme, i.e., using joint analog/digital signal
processing architectures, is proposed. As a pre-requisite,
the wireless channel characteristics at 60 GHz are well
studied, and the im-plementation of a 60 GHz channel model
for system simulations is done. The majorbaseband signal
processing tasks such as beamforming/MIMO techniques,
channelestimation, equalization, matched filtering (pulse
shaping at the transmitter) are in-vestigated. Each of the
transceiver tasks is studied both concerning the
high-levelpower consumption and the communication
performance impact. Except that, thelow complexity
algorithms with acceptable performance loss are investigated
to guar-antee the strict power limit. The overall
methodology is energy-driven. For instance, all design
decisions liketransmission scheme selection, analog/digital
partitioning, and algorithms optimiza-tion, are driven by
energy efficiency. There is a strong relationship between
energyefficiency and communication performance. Thus, power
estimation is performed forthe components identified to be
suitable for a system that meets the overall through-put,
communication performance, and power constraints. This
applies to compon-ents in both the analog as well as the
digital part. Besides, an analysis of the relation3between
energy and spectrum efficiency is also performed to guide
the practical en-ergy/spectrum efficiency trade-off for the
millimeter-wave system design.Finally, as proof of concept
for the methodology and because of its high relevance,the
proposed approach is applied towards systems operating
beyond the 100 GHz car-rier frequency range. The impact of
an extension to 120 GHz carrier frequency rangesand an
extension from the point-to-point MIMO transmission to
multi-user case areaddressed. In this dissertation, all
novel designs and analytical evaluations in systemdesign
aspects are validated via simulations. The results
demonstrate the perform-ance advantage of millimeter wave
systems, which positions 60GHz technology as acritical
component in the forefront of Gbps wireless communications.},
cin = {611810},
ddc = {621.3},
cid = {$I:(DE-82)611810_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2022-04126},
url = {https://publications.rwth-aachen.de/record/844695},
}
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