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There is no doubt that we are facing a wireless data explosion.
Modern wireless networks need to satisfy increasing demand, but are
faced with challenges such as limited spectrum, expensive
resources, green communication requirements and security issues. In
the age of internet of things (IoT) with massive data transfers and
huge numbers of connected devices, including high-demand QoS (4G,
5G networks and beyond), signal processing is producing data sets
at the gigabyte and terabyte scales. Modest-sized optimisation
problems can be handled by online algorithms with fast speed
processing and a huge amount of computer memory. With the rapid
increase in powerful computers, more efficient algorithms and
advanced parallel computing promise an enormous reduction in
calculation time, solving modern optimisation problems on strict
deadlines at microsecond or millisecond time scales. Finally, the
interplay between machine learning and optimisation is an efficient
and practical approach to optimisation in real-time applications.
Real-time optimisation is becoming a reality in signal processing
and wireless networks. This book considers advanced real-time
optimisation methods for 5G and beyond networks. The authors
discuss the fundamentals, technologies, practical questions and
challenges around real-time optimisation of 5G and beyond
communications, providing insights into relevant theories, models
and techniques. The book should benefit a wide audience of
researchers, practitioners, scientists, professors and advanced
students in engineering, computer science, ubiquitous computing,
information technology, and networking and communications
engineering, as well as professionals in government agencies.
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