Cantitate/Preț
Produs
Total produse
Vezi coșul
Artificial Intelligence for 6G de Haesik Kim

Artificial Intelligence for 6G

Autor Haesik Kim
en Limba Engleză Hardback – 30 mar 2022
This textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI.
Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as:
  • unsupervised learning;
  • supervised learning;
  • reinforcement learning; and
  • deep learning.
It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks.
This book is at the forefront of 6G research, and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications. 
Citește tot Restrânge

Preț: 69558 lei

Preț vechi: 90335 lei
-23%

Puncte Express: 1043
Paperback 51577 lei
Hardback 69558 lei

Carte tipărită la comandă

Livrare economică 27 noiembrie-03 decembrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783030950408
ISBN-10: 3030950409
Pagini: 544
Ilustrații: XVI, 525 p. 285 illus., 2 illus. in color.
Dimensiuni: 160 x 241 x 33 mm
Greutate: 1.02 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Part I: Artificial Intelligence Techniques.- Chapter 1. Historical Sketch of Artificial Intelligence.- Chapter 2. Unsupervised Learning.- Chapter 3. Supervised Learning.- Chapter 4. Gradient Descent.- Chapter 5. Reinforcement Learning.- Chapter 6. Deep Learning.- Part II: Artificial Intelligence Enabled Techniques for 6G.- Chapter 7. Artificial Intelligence and 6G.- Chapter 8. AI for Big Data.- Chapter 9. AI Enabled Wireless Communications.- Chapter 10. AI Enabled Networks.- Chapter 11. AI Empowered Mobile Applications.

Notă biografică

Vyasa Sai is a Senior Hardware Engineer in the Accelerated Computing Systems and Graphics Group (AXG) Group @ Intel Corporation, Folsom, CA, USA. He received his PhD from the Department of Electrical and Computer Engineering (ECE) at the University of Pittsburgh, Pittsburgh, PA, USA in 2013. He also has a Master of Science degree in ECE and a Bachelor of technology degree in ECE from USA and India respectively. He is both a published author with numerous refereed international publications in the field of electronics and communication engineering and a published inventor with several US patents to his name. He is the IEEE Chair for the ComSoC Sacramento Valley Chapter, Lead series editor for the Design and Implementation of Devices, Circuits, and Systems Series for IEEE Communication Magazine, Technical Committee member for the IEEE Circuits and Systems for Communications and actively participates in various international journals and conferences by serving as a Session Chair, Review Committee Member, Lead Guest Editor, Technical Committee member, etc. His research contributions and accomplishments have won him many international honors that include 2018 Williams award, 2020 Sheth International Achievement award, 2022 Young Scientist Award, among others. Haesik Kim is a project manager in VTT Technical Research Centre of Finland. He received the Ph.D. degree from Lancaster University, UK. From 2002 to 2006, he was with Samsung Advanced Institute of Technology (SAIT) where he focused on physical layer system design and standardisation in 3G, SDR and UWB projects. From 2008 to 2009, he was with NEC UK where he was involved in 4G WiMAX system design and standardisation. He was a visiting researcher at the University of Bergen, Norway and National Institute of Information and Communications (NICT), Japan. He joined VTT Technical Research Centre of Finland in 2010 and is currently focusing on system design and optimization for 6G. He has over 20 years work experience from 3G to 6G. He is an author of multiple wireless system books: Wireless Communications Systems Design (Wiley), Design and optimization for 5G wireless communications (Wiley-IEEE), and AI for 6G (Springer). These books are widely referred to in academia and industry. He is now serving as an associate editor of IEEE Transactions on Consumer Electronics and an associate technical editor of IEEE Communications Magazine. He was a vice-chair of 5G-IA steering board. He was a series editor of IEEE Communications Magazine: Design and Implementation of Devices, Circuits and Systems. He has been serving as a guest editor, a conference chair, a session chair and a TPC member of major IEEE journals and conferences such as JSAC, ICC, GC and so on. He as an EU project coordinator, project manager and principal investigator has been involved in many research projects: EU, ESA, Finnish national projects. His current research interests include artificial intelligence, machine learning, 6G communications and networks design and optimization, vertical use case designs, etc. Bernard Fong received his BSc degree in electronics from the University of Manchester Institute of Science and Technology and PhD degree in health information systems from the University of New South Wales in 1993 and 2005, respectively. He is currently with Providence University and serves as the Managing Editor of IEEE Smart Cities eNewsletter, associate editor for the Archives of Emergency Medicine and Critical Care, Anaesthesia, Critical Care and Pain Management; Cyber-Physical Systems, and Academic Editor of PLOS ONE. He is the Chair of System Biology and Biomedical Systems Technical Committee under IEEE Systems Council.

Textul de pe ultima copertă

This textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI.
Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as:
  • unsupervised learning;
  • supervised learning;
  • reinforcement learning; and
  • deep learning.
It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks. This book is at the forefront of 6G research, and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications. 

Caracteristici

Provides a thorough overview of AI techniques and applying them to 6G communications and networks Introduces machine learning techniques to graduate students and academics Presents methods for the design and optimization of 6G communication systems