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This book provides a comprehensive picture of mobile big data
starting from data sources to mobile data driven applications.
Mobile Big Data comprises two main components: an overview of
mobile big data, and the case studies based on real-world data
recently collected by one of the largest mobile network carriers in
China. In the first component, four areas of mobile big data life
cycle are surveyed: data source and collection, transmission,
computing platform and applications. In the second component, two
case studies are provided, based on the signaling data collected in
the cellular core network in terms of subscriber privacy evaluation
and demand forecasting for network management. These cases
respectively give a vivid demonstration of what mobile big data
looks like, and how it can be analyzed and mined to generate useful
and meaningful information and knowledge. This book targets
researchers, practitioners and professors relevant to this field.
Advanced-level students studying computer science and electrical
engineering will also be interested in this book as supplemental
reading.
This book investigates and reviews recent advanced techniques and
important applications in vehicular communications and networking
(VCN) from a novel perspective of the combination and integration
of VCN and connected vehicles, which provides a significant
scientific and technical support for future 5G-based VCN.
5G-Enabled Vehicular Communications and Networking introduces
vehicular channel characteristics, reviews current channel modeling
approaches, and then provides a new generic geometry-based
stochastic modeling approach for vehicle-to-everything (V2X)
communications. The investigation of vehicular channel measurements
and modeling provides fundamental supports for the VCN system
design. Then, this book investigates VCN-vehicle combination from
PHY and MAC layers, respectively. As for the PHY layer, many
advanced techniques that can be effectively applied in VCN to
counter the PHY challenges are introduced, including novel ICI
cancellation methods, index modulated OFDM, differential spatial
modulation, and energy harvesting relaying. As for the MAC layer,
distributed and centralized MAC designs are analyzed and compared
in terms of feasibility and availability. Specifically, distributed
congestion control, D2D-enabled vehicular communications, and
centralized data dissemination scheduling are elaborated, which can
significantly improve the network performance in vehicular
networks. Finally, considering VCN-vehicle integration, this book
introduces several hot-topic applications in vehicular networks,
including electric vehicles, distributed data storage, unmanned
aerial vehicles, and security and privacy, which indicates the
significance and development value of VCN-vehicle integration in
future vehicular networks and our daily life. The primary audience
for this book includes professionals and researchers working in the
field of vehicular communications, intelligent transportation
systems (ITS), and Internet of vehicles (IoV). Advanced level
students studying electrical engineering will also find this book
useful as a secondary textbook for related courses.
This book provides a comprehensive picture of mobile big data
starting from data sources to mobile data driven applications.
Mobile Big Data comprises two main components: an overview of
mobile big data, and the case studies based on real-world data
recently collected by one of the largest mobile network carriers in
China. In the first component, four areas of mobile big data life
cycle are surveyed: data source and collection, transmission,
computing platform and applications. In the second component, two
case studies are provided, based on the signaling data collected in
the cellular core network in terms of subscriber privacy evaluation
and demand forecasting for network management. These cases
respectively give a vivid demonstration of what mobile big data
looks like, and how it can be analyzed and mined to generate useful
and meaningful information and knowledge. This book targets
researchers, practitioners and professors relevant to this field.
Advanced-level students studying computer science and electrical
engineering will also be interested in this book as supplemental
reading.
Following underwater acoustic channel modeling, this book
investigates the relationship between coherence time and
transmission distances. It considers the power allocation issues of
two typical transmission scenarios, namely short-range transmission
and medium-long range transmission. For the former scenario, an
adaptive system is developed based on instantaneous channel state
information. The primary focus is on cooperative dual-hop
orthogonal frequency division multiplexing (OFDM).This book
includes the decomposed fountain codes designed to enable reliable
communications with higher energy efficiency. It covers the Doppler
Effect, which improves packet transmission reliability for
effective low-complexity mirror-mapping-based intercarrier
interference cancellation schemes capable of suppressing the
intercarrier interference power level. Designed for professionals
and researchers in the field of underwater acoustic communications,
this book is also suitable for advanced-level students in
electrical engineering or computer science.
This book proposes promising mmWave solutions to promoting safe and
reliable vehicular communications. The authors include topics such
as channel estimation, multi-user transceiver design, and advanced
index modulation. For channel estimation, unique channel properties
and hybrid structures are first introduced, followed by the
development of a doubly-sparse doubly-selective channel estimator.
For multi-user transceiver design, the concept of hybrid block
diagonalization (HBD) is first introduced, followed by a generic
HBD-based transceiver design to maximize the system capacity. For
advanced index modulation, the generalized beamspace modulation for
uplink multi-user scenarios are first introduced, followed by the
precoded beamspace modulation for the downlink. Finally, this book
discusses open problems and future research directions to inspire
further studies in the field of mmWave vehicular communications.
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