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This book discusses the smooth integration of optical and RF
networks in 5G and beyond (5G+) heterogeneous networks (HetNets),
covering both planning and operational aspects. The integration of
high-frequency air interfaces into 5G+ wireless networks can
relieve the congested radio frequency (RF) bands. Visible light
communication (VLC) is now emerging as a promising candidate for
future generations of HetNets. Heterogeneous RF-optical networks
combine the high throughput of visible light and the high
reliability of RF. However, when implementing these HetNets in
mobile scenarios, several challenges arise from both planning and
operational perspectives. Since the mmWave, terahertz, and visible
light bands share similar wave propagation characteristics, the
concepts presented here can be broadly applied in all such bands.
To facilitate the planning of RF-optical HetNets, the authors
present an algorithm that specifies the joint optimal densities of
the base stations by drawing on stochastic geometry in order to
satisfy the users' quality-of-service (QoS) demands with minimum
network power consumption. From an operational perspective, the
book explores vertical handovers and multi-homing using a
cooperative framework. For vertical handovers, it employs a
data-driven approach based on deep neural networks to predict
abrupt optical outages; and, on the basis of this prediction,
proposes a reinforcement learning strategy that ensures minimal
network latency during handovers. In terms of multi-homing support,
the authors examine the aggregation of the resources from both
optical and RF networks, adopting a two-timescale multi-agent
reinforcement learning strategy for optimal power allocation.
Presenting comprehensive planning and operational strategies, the
book allows readers to gain an in-depth grasp of how to integrate
future coexisting networks at high-frequency bands in a cooperative
manner, yielding reliable and high-speed 5G+ HetNets.
Mathematical Foundations for Signal Processing, Communications, and
Networking describes mathematical concepts and results important in
the design, analysis, and optimization of signal processing
algorithms, modern communication systems, and networks. Helping
readers master key techniques and comprehend the current research
literature, the book offers a comprehensive overview of methods and
applications from linear algebra, numerical analysis, statistics,
probability, stochastic processes, and optimization. From basic
transforms to Monte Carlo simulation to linear programming, the
text covers a broad range of mathematical techniques essential to
understanding the concepts and results in signal processing,
telecommunications, and networking. Along with discussing
mathematical theory, each self-contained chapter presents examples
that illustrate the use of various mathematical concepts to solve
different applications. Each chapter also includes a set of
homework exercises and readings for additional study. This text
helps readers understand fundamental and advanced results as well
as recent research trends in the interrelated fields of signal
processing, telecommunications, and networking. It provides all the
necessary mathematical background to prepare students for more
advanced courses and train specialists working in these areas.
Mathematical Foundations for Signal Processing, Communications, and
Networking describes mathematical concepts and results important in
the design, analysis, and optimization of signal processing
algorithms, modern communication systems, and networks. Helping
readers master key techniques and comprehend the current research
literature, the book offers a comprehensive overview of methods and
applications from linear algebra, numerical analysis, statistics,
probability, stochastic processes, and optimization. From basic
transforms to Monte Carlo simulation to linear programming, the
text covers a broad range of mathematical techniques essential to
understanding the concepts and results in signal processing,
telecommunications, and networking. Along with discussing
mathematical theory, each self-contained chapter presents examples
that illustrate the use of various mathematical concepts to solve
different applications. Each chapter also includes a set of
homework exercises and readings for additional study. This text
helps readers understand fundamental and advanced results as well
as recent research trends in the interrelated fields of signal
processing, telecommunications, and networking. It provides all the
necessary mathematical background to prepare students for more
advanced courses and train specialists working in these areas.
This book discusses the smooth integration of optical and RF
networks in 5G and beyond (5G+) heterogeneous networks (HetNets),
covering both planning and operational aspects. The integration of
high-frequency air interfaces into 5G+ wireless networks can
relieve the congested radio frequency (RF) bands. Visible light
communication (VLC) is now emerging as a promising candidate for
future generations of HetNets. Heterogeneous RF-optical networks
combine the high throughput of visible light and the high
reliability of RF. However, when implementing these HetNets in
mobile scenarios, several challenges arise from both planning and
operational perspectives. Since the mmWave, terahertz, and visible
light bands share similar wave propagation characteristics, the
concepts presented here can be broadly applied in all such bands.
To facilitate the planning of RF-optical HetNets, the authors
present an algorithm that specifies the joint optimal densities of
the base stations by drawing on stochastic geometry in order to
satisfy the users' quality-of-service (QoS) demands with minimum
network power consumption. From an operational perspective, the
book explores vertical handovers and multi-homing using a
cooperative framework. For vertical handovers, it employs a
data-driven approach based on deep neural networks to predict
abrupt optical outages; and, on the basis of this prediction,
proposes a reinforcement learning strategy that ensures minimal
network latency during handovers. In terms of multi-homing support,
the authors examine the aggregation of the resources from both
optical and RF networks, adopting a two-timescale multi-agent
reinforcement learning strategy for optimal power allocation.
Presenting comprehensive planning and operational strategies, the
book allows readers to gain an in-depth grasp of how to integrate
future coexisting networks at high-frequency bands in a cooperative
manner, yielding reliable and high-speed 5G+ HetNets.
Wireless sensor networks are set to play a key role in a wide range
of civilian and military applications, with tiny sensors connected
through wireless links performing various sensing, computing,
communication, and control tasks in highly distributed systems.
This book presents a critical element in the deployment of wireless
sensor networks: the process of synchronization. It summarizes the
most important clock synchronization protocols proposed for
wireless sensor networks with special emphasis placed on deriving
efficient clock offset estimation schemes and performance
benchmarks. Graduate students of electrical and computer
engineering and computer science will find this a valuable
resource, as will engineers who are interested in designing
efficient clock synchronization algorithms and improving the
performance of existing synchronization protocols.
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