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.
Les mer
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.
Les mer
Chapter 1: Convexity and convex optimisation problemsChapter 2: Recognition and classification of convex programmingChapter 3: Convex optimisation for signal processing and wireless communicationChapter 4: Introduction to real-time embedded optimisation programmingChapter 5: Introduction to practical optimisation problemsChapter 6: First-order methods for real-time optimisationChapter 7: Distributed and parallel computing for real-time optimisationChapter 8: Machine learning for real-time optimisationChapter 9: Real-time embedded convex programmingChapter 10: Real-time embedded optimisation in UAV communicationsChapter 11: An introduction of real-time embedded optimisation programming for UAV systemsChapter 12: Real-time optimal resource allocation for embedded UAV communication systemsChapter 13: Real-time deployment and resource allocation for distributed UAV systems in disaster reliefChapter 14: Practical optimisation of path planning and completion time of data collection for UAV-enabled disaster communicationsChapter 15: Learning-aided real-time performance optimisation of cognitive UAV-assisted disaster communicationReferencesAppendices
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Produktdetaljer
ISBN
9781785619595
Publisert
2022-02-11
Utgiver
Vendor
Institution of Engineering and Technology
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
223
Forfatter