In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling
and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implementations.
For this, we decompose the analog beamforming networks (ABFN) as a bank of commonly used RF
components and formulate realistic model constraints based on their S-parameters. Specifically, we
concentrate on fully-connected ABFN (FC-ABFN) and Butler networks for implementing the discrete
Fourier transform (DFT) in the RF domain. The results presented in this paper reveal that the PerFormance
and energy efficiency of hybrid precoding systems are severely affected, once practical factors are
considered in the overall design. In this context, we also show that Butler RF networks are capable of
providing better PerFormances than FC-ABFN for systems with a large number of RF chains.
This research work aims at eliminating the off-chip RF SAW filters from fre-
quency division duplexed (FDD) receivers. In the first approach, a monolithic passive
RF filter was constructed using on-chip capacitors and bondwire inductors. The bond-
wire characteristics were studied in details and the effect of mutual inductive coupling
between the bondwires on the filter PerFormance was analyzed. Based on that, a bond-
wire configuration was proposed to improve the frequency response of the filter. The
filter was implemented in 0.18 μm CMOS process for WCDMA applications.
Radio frequency (RF) power amplifiers are used in everyday life for many applica-
tions including cellular phones, magnetic resonance imaging, semiconductor wafer
processing for chip manufacturing, etc. Therefore, the design and PerFormance of
RF amplifiers carry great importance for the proper functionality of these devices.
Furthermore, several industrial and military applications require low-profile yet
high-powered and efficient power amplifiers.
This book presents millimeter wave communication system design and analysis at the
level to produce an understanding of the interaction between a wireless system and its
front end so that the overall PerFormance can be predicted. Gigabit wireless commu-
nications require a considerable amount of bandwidth, which can be supported by
millimeter waves. Millimeter wave technology has come of age, and at the time of
writing the standards of IEEE 802.15.3c, WiGig, Wireless HD TM , and the European
Computer Manufacturers Association have recently been finalized.
Use of multiple antennas at both ends of wireless links is the result of the
natural progression of more than four decades of evolution of adaptive
antenna technology. Recent advances have demonstrated that multiple-
input-multiple-output (MIMO) wireless systems can achieve impressive
increases in overall system PerFormance.
In general there are three different techniques for PerFormance evaluation of
systems and networks: mathematical analysis, measurements, and computer
simulation. All these techniques have their strength and weaknesses. In the
literature there are plenty of discussions about when to use which technique,
how to apply it, and which pitfalls are related to which evaluation technique.
Modeling and simulation of nonlinear systems provide communication system designers
with a tool to predict and verify overall system PerFormance under nonlinearity and
complex communication signals. Traditionally, RF system designers use deterministic
signals (discrete tones), which can be implemented in circuit simulators, to predict the
PerFormance of their nonlinear circuits/systems. However, RF system designers are usually
faced with the problem of predicting system PerFormance when the input to the system
is real-world communication signals which have a random nature.
This book is a result of the recent rapid advances in two related technologies: com-
munications and computers. Over the past few decades, communication systems
have increased in complexity to the point where system design and PerFormance
analysis can no longer be conducted without a significant level of computer sup-
port. Many of the communication systems of fifty years ago were either power or
noise limited. A significant degrading effect in many of these systems was thermal
noise, which was modeled using the additive Gaussian noise channel.
The book is written for those concerned with the design and PerFormance of satellite
communications systems employed in fixed point-to-point, broadcasting, mobile, radio-
navigation,data-relay,computercommunications,andrelatedsatellite-basedapplications.The
recentrapidgrowthinsatellitecommunicationshascreatedaneedforaccurateinformationon
both satellite communications systems engineering and the impact of atmospheric effects on
satellite link design and system PerFormance. This book addresses that need for the first time
in a single comprehensive source.
This paper presents a Hidden Markov Model (HMM)-based speech
enhancement method, aiming at reducing non-stationary noise from speech
signals. The system is based on the assumption that the speech and the noise
are additive and uncorrelated. Cepstral features are used to extract statistical
information from both the speech and the noise. A-priori statistical
information is collected from long training sequences into ergodic hidden
Markov models. Given the ergodic models for the speech and the noise, a
compensated speech-noise model is created by means of parallel model
combination, using a log-normal approximation. During the compensation, the
mean of every mixture in the speech and noise model is stored. The stored
means are then used in the enhancement process to create the most likely
speech and noise power spectral distributions using the forward algorithm
combined with mixture probability. The distributions are used to generate a
Wiener filter for every observation. The paper includes a PerFormance
evaluation of the speech enhancer for stationary as well as non-stationary
noise environment.