The contemporary view of the Smart City is very much static and infrastructure-
centric, focusing on installation and subsequent management of Edge devices and
analytics of data provided by these devices. While this still allows a more efficient
management of the city’s infrastructure, optimizations and savings in different do-
mains, the existing architectures are currently designed as single-purpose, vertically
siloed solutions. This hinders active involvement of a variety of stakeholders (e.g.,
citizens and businesses) who naturally form part of the city’s ecosystem and have an
inherent interest in jointly coordinating and influencing city-level activities.
In this paper, we consider the channel estimation
problem in Millimeter wave (mmWave) wireless systems with
large antenna arrays. By exploiting the inherent sparse nature of
the mmWave channel, we develop a novel rate-adaptive channel
estimation (RACE) algorithm, which can adaptively adjust the
number of required channel measurements based on an expected
probability of estimation error (PEE).
Emerging technologies such as WiFi and WiMAX are profoundly changing the
landscape of wireless broadband. As we evolve into future generation wireless
networks, a primary challenge is the support of high data rate, integrated multi-
media type traffic over a unified platform. Due to its inherent advantages in
high-speed communication, orthogonal frequency division multiplexing (OFDM)
has become the modem of choice for a number of high profile wireless systems
(e.g., DVB-T, WiFi, WiMAX, Ultra-wideband).
Emerging technologies such as WiFi and WiMAX are profoundly changing the
landscape of wireless broadband. As we evolve into future generation wireless
networks, a primary challenge is the support of high data rate, integrated multi-
media type traffic over a unified platform. Due to its inherent advantages in
high-speed communication, orthogonal frequency division multiplexing (OFDM)
has become the modem of choice for a number of high profile wireless systems
(e.g., DVB-T, WiFi, WiMAX, Ultra-wideband).
n the first part of this book, we give an introduction to the basic applications of wireless com-
munications, as well as the technical problems inherent in this communication paradigm. After a
brief history of wireless, Chapter 1 describes the different types of wireless services, and works
out their fundamental differences. The subsequent Section 1.3 looks at the same problem from
a different angle: what data rates, ranges, etc., occur in practical systems, and especially, what
combination of performance measures are demanded (e.g., what data rates need to be transmitted
over short distances; what data rates are required over long distances?) Chapter 2 then describes
the technical challenges of communicating without wires, putting special emphasis on fading and
co-channel interference. Chapter 3 describes the most elementary problem of designing a wireless
system, namely to set up a link budget in either a noise-limited or an interference-limited system.
After studying this part of the book, the reader should have an overview of different types of
wireless services, and understand the technical challenges involved in each of them. The solutions
to those challenges are described in the later parts of this book.
Phenomenon is an overused and overloaded term, but somehow it seems appropriate for Arduino—an
endeavor that has caught the attention of an astonishingly wide range of people and provided
opportunities for those who might otherwise have never picked up a soldering iron or written a single
line of code. From dyed-in-the-wool hardware hackers to web page developers, robotics enthusiasts to
installation artists, textile students to musicians: all can be found in the Arduino community. The
versatility of the platform encompassing both hardware and software, combined with its inherent
openness, has captured the imagination of tens of thousands of developers.
This book is either ambitious, brave, or reckless approaching
a topic as rapidly evolving as industrial control system (ICS)
security. From the advent of ICS-targeted malicious software
such as Stuxnet to the advanced persistent threats posed by
organized crime and state-sponsored entities, ICS is in the
crosshairs and practices and controls considered safe today
may be obsolete tomorrow. Possibly more so than in more
traditional IT security, because of the differences inherent in
ICS.
