Название: Real Time Convex Optimisation for 5G Networks and Beyond
Автор: Long D. Nguyen, Trung Q. Duong
Издательство: The Institution of Engineering and Technology
Год: 2022
Страниц: 223
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB
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.