Real Time Convex Optimisation for 5G Networks and Beyond

Nguyen, LD; Duong, TQ; Tuan, HD

Real Time Convex Optimisation for 5G Networks and Beyond

Nguyen, LD Duong, TQ Tuan, HD

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Publisher:: Institution of Engineering and Technology
Publication Type:: Book
Citation:: 2022, pp. 1-208
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Nguyen, LD
dc.contributor.author	Duong, TQ
dc.contributor.author	Tuan, HD
dc.date.accessioned	2022-08-31T22:31:17Z
dc.date.available	2022-08-31T22:31:17Z
dc.date.issued	2022-01-01
dc.identifier.citation	2022, pp. 1-208
dc.identifier.isbn	9781785619601
dc.identifier.uri	http://hdl.handle.net/10453/161149
dc.description.abstract	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.
dc.language	en
dc.publisher	Institution of Engineering and Technology
dc.relation.isbasedon	10.1049/PBTE087E
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Real Time Convex Optimisation for 5G Networks and Beyond
dc.type	Book
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-31T22:31:16Z
pubs.publication-status	Published

Abstract:

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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http://hdl.handle.net/10453/161149