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This book presents a mathematical treatment of the radio resource
allocation of modern cellular communications systems in contested
environments. It focuses on fulfilling the quality of service
requirements of the living applications on the user devices, which
leverage the cellular system, and with attention to elevating the
users' quality of experience. The authors also address the
congestion of the spectrum by allowing sharing with the band
incumbents while providing with a quality-of-service-minded
resource allocation in the network. The content is of particular
interest to telecommunications scheduler experts in industry,
communications applications academia, and graduate students whose
paramount research deals with resource allocation and quality of
service.
This book introduces an efficient resource management approach for
future spectrum sharing systems. The book focuses on providing an
optimal resource allocation framework based on carrier aggregation
to allocate multiple carriers' resources efficiently among mobile
users. Furthermore, it provides an optimal traffic dependent
pricing mechanism that could be used by network providers to charge
mobile users for the allocated resources. The book provides
different resource allocation with carrier aggregation solutions,
for different spectrum sharing scenarios, and compares them. The
provided solutions consider the diverse quality of experience
requirement of multiple applications running on the user's
equipment since different applications require different
application performance. In addition, the book addresses the
resource allocation problem for spectrum sharing systems that
require user discrimination when allocating the network resources.
This book presents the design of delay-efficient packet schedulers
for heterogeneous M2M uplink traffic classified into several
classes, based on packet delay requirements, payload size, arrival
process, etc. Specifically, the authors use tools from queuing
theory to determine the delay-optimal scheduling policy. The
proposed packet schedulers are designed for a generic M2M
architecture and thus equally applicable to any M2M application.
Additionally, due to their low implementation complexity and
excellent delay-performance, they authors show how they are also
well-suited for practical M2M systems. The book pertains primarily
to real-time process scheduler experts in industry/academia and
graduate students whose research deals with designing
Quality-of-Service-aware packet schedulers for M2M packet
schedulers over existing and future cellular infrastructure.
Presents queuing theoretic analysis and optimization techniques
used to design proposed packet scheduling strategies; Provides
utility functions to precisely model diverse delay requirements,
which lends itself to formulation of utility-maximization problems
for determining the delay- or utility-optimal packet scheduler;
Includes detail on low implementation complexity of the proposed
scheduler by using iterative and distributed optimization
techniques.
This book introduces an efficient resource management approach for
future spectrum sharing systems. The book focuses on providing an
optimal resource allocation framework based on carrier aggregation
to allocate multiple carriers' resources efficiently among mobile
users. Furthermore, it provides an optimal traffic dependent
pricing mechanism that could be used by network providers to charge
mobile users for the allocated resources. The book provides
different resource allocation with carrier aggregation solutions,
for different spectrum sharing scenarios, and compares them. The
provided solutions consider the diverse quality of experience
requirement of multiple applications running on the user's
equipment since different applications require different
application performance. In addition, the book addresses the
resource allocation problem for spectrum sharing systems that
require user discrimination when allocating the network resources.
This book presents spectrum sharing efforts between cellular
systems and radars. The book addresses coexistence algorithms for
radar and communication systems. Topics include radar and cellular
system models; spectrum sharing with small radar systems; spectrum
sharing with large radar systems; radar spectrum sharing with
coordinated multipoint systems (CoMP); and spectrum sharing with
overlapped MIMO radars. The primary audience is the radar and
wireless communication community, specifically people in industry,
academia, and research whose focus is on spectrum sharing. The
topics are of interest for both communication and signal processing
technical groups. In addition, students can use MATLAB code to
enhance their learning experience.
This book presents a mathematical treatment of the radio resource
allocation of modern cellular communications systems in contested
environments. It focuses on fulfilling the quality of service
requirements of the living applications on the user devices, which
leverage the cellular system, and with attention to elevating the
users' quality of experience. The authors also address the
congestion of the spectrum by allowing sharing with the band
incumbents while providing with a quality-of-service-minded
resource allocation in the network. The content is of particular
interest to telecommunications scheduler experts in industry,
communications applications academia, and graduate students whose
paramount research deals with resource allocation and quality of
service.
This book discusses spectrum sharing between cellular systems and
radars. The book addresses a novel way to design radar waveforms
that can enable spectrum sharing between radars and communication
systems, without causing interference to communication systems, and
at the same time achieving radar objectives of target detection,
estimation, and tracking. The book includes a MATLAB-based
approach, which provides reader with a way to learn, experiment,
compare, and build on top of existing algorithms.
This book dives into radio resource allocation optimizations, a
research area for wireless communications, in a pragmatic way and
not only includes wireless channel conditions but also incorporates
the channel in a simple and practical fashion via well-understood
equations. Most importantly, the book presents a practical
perspective by modeling channel conditions using terrain-aware
propagation which narrows the gap between purely theoretical work
and that of industry methods. The provided propagation modeling
reflects industry grade scenarios for radio environment map and
hence makes the channel based resource allocation presented in the
book a field-grade view. Also, the book provides large scale
simulations that account for realistic locations with terrain
conditions that can produce realistic scenarios applicable in the
field. Most portions of the book are accompanied with MATLAB code
and occasionally MATLAB/Python/C code. The book is intended for
graduate students, academics, researchers of resource allocation in
mathematics, computer science, and electrical engineering
departments as well as working professionals/engineers in wireless
industry.
This book dives into radio resource allocation optimizations, a
research area for wireless communications, in a pragmatic way and
not only includes wireless channel conditions but also incorporates
the channel in a simple and practical fashion via well-understood
equations. Most importantly, the book presents a practical
perspective by modeling channel conditions using terrain-aware
propagation which narrows the gap between purely theoretical work
and that of industry methods. The provided propagation modeling
reflects industry grade scenarios for radio environment map and
hence makes the channel based resource allocation presented in the
book a field-grade view. Also, the book provides large scale
simulations that account for realistic locations with terrain
conditions that can produce realistic scenarios applicable in the
field. Most portions of the book are accompanied with MATLAB code
and occasionally MATLAB/Python/C code. The book is intended for
graduate students, academics, researchers of resource allocation in
mathematics, computer science, and electrical engineering
departments as well as working professionals/engineers in wireless
industry.
The school bus routing problem (SBRP) is a central issue in
transportation planning and optimization systems. SBRP seeks to
plan an efficient schedule for a fleet of school buses where each
bus picks up students from various bus stops and delivers them to
their designated schools while satisfying various constraints such
as the bus capacity. Due to its complexity, many heuristics have
been proposed to solve this combinatorial problem in an effective
way. In this book, geographic information systems (GIS)-based
decision-making framework that combines GIS, clustering techniques,
network cutting techniques, and a hybrid ant colony optimization
metaheuristic with the iterated Lin-Kernighan local improvement
heuristic is proposed for solving the SBRP as a split delivery
vehicle routing problem (SDVRP). Experiments were conducted for
evaluating the proposed framework by comparing the results from it
and Arc-GIS 9.2 Network Analyst which uses the greedy Dijkstra's
algorithm. The reported results of the proposed framework generally
outperform that of the ArcGIS. IIn addition, the proposed
decision-making framework was applied to solve a real life SBRP to
demonstrate its application.
The main objective of this study was to determine and understand
how environmental factors influence growth and the regulation of
AFB1 production, and to gain knowledge of the correlation of
ecophysiological conditions with toxin gene expression of the
aflatoxin genes in relation to phenotypic production. In this study
the following studies have been carried out: Effect of combinations
of water activity x temperature interactions on growth, and
sporulation, and partitioning of AFB1 into spores, mycelium and
medium using A. flavus NRRL 3357. Use of a microarray and
real-timePCR to examine the effects of aw x temperature
interactions on a conducive YES and to examine the relationship
between the expression of the genes and phenotypic aflatoxin
production.A relative quantification system (RQ-PCR) was used to
monitor and correlate the temporal activity of the aflD gene of
Aspergillus flavus using real-time PCR in relation to phenotypic
AFB1 production and populations of A. flavus in stored peanuts. To
examine the potential of three designed siRNA sequences to target
the mRNA sequence of the aflD gene for using RNA silencing
technology to control aflatoxin production.
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