國立虎尾科技大學 |

AI for wireless physical layer

Record Type:	Language materials, printed : Monograph/item
Title/Author:	AI for wireless physical layer/ by Long Zhao, Hongrui Shen, Kan Zheng.
Author:	Zhao, Long.
other author:	Shen, Hongrui.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 88 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Wireless communication systems. -
Online resource:	https://doi.org/10.1007/978-3-032-01367-5
ISBN:	9783032013675

AI for wireless physical layer
Zhao, Long.

AI for wireless physical layer[electronic resource] /by Long Zhao, Hongrui Shen, Kan Zheng. - Cham :Springer Nature Switzerland :2025. - xv, 88 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

Chapter 1. Introduction -- Chapter 2. Intelligent Channel Estimation Technology -- Chapter 3. Intelligent CSI Feedback Technology for FDD Systems -- Chapter 4. Intelligent Precoding Technology for TDD Systems -- Chapter 5. Intelligent Beam Management Technology -- Chapter 6. Conclusion and Outlook.

The authors present research results on AI for wireless physical layer. Both the typical applications and model design for intelligent physical-layer communication are addressed. Along with a review of the literatures, the authors first present the integration of artificial intelligence (AI) and communication for sixth generation (6G) network or future communication networks. The authors also introduce the typic applications of AI on physical-layer technology, i.e., channel estimation and interpolation, the intelligent CSI feedback and precoding technologies for FDD and TDD systems, respectively, beam management for cell coverage. Finally, this SpringerBrief discusses future research directions. The authors believe the example mechanisms and demonstration of AI-based physical-layer communication and related findings could reveal useful insights for the application of AI on wireless network and spur. It's a new line of thinking for the performance improvement of future communication networks. This SpringerBrief targets advanced-level students majoring in the areas of communication engineering, information engineering, intelligent science, computer science, engineering and electrical engineering professionals and researchers seeking AI-based solutions for 6G physical-layer communications will also find this book a useful resource.

ISBN: 9783032013675

Standard No.: 10.1007/978-3-032-01367-5doiSubjects--Topical Terms:

562740
Wireless communication systems.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.382

AI for wireless physical layer
LDR:02700nam a2200337 a 4500 001 1166633
003 DE-He213
005 20250901130612.0
006 m d
007 cr nn 008maaau
008 251217s2025 sz s 0 eng d
020 $a 9783032013675 $q (electronic bk.)
020 $a 9783032013668 $q (paper)
024 7 $a 10.1007/978-3-032-01367-5 $2 doi
035 $a 978-3-032-01367-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5103.2
072 7 $a UKN $2 bicssc
072 7 $a COM043000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 621.382 $2 23
090 $a TK5103.2 $b .Z63 2025
100 1 $a Zhao, Long. $e author. $3 1284922
245 1 0 $a AI for wireless physical layer $h [electronic resource] / $c by Long Zhao, Hongrui Shen, Kan Zheng.
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xv, 88 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a Chapter 1. Introduction -- Chapter 2. Intelligent Channel Estimation Technology -- Chapter 3. Intelligent CSI Feedback Technology for FDD Systems -- Chapter 4. Intelligent Precoding Technology for TDD Systems -- Chapter 5. Intelligent Beam Management Technology -- Chapter 6. Conclusion and Outlook.
520 $a The authors present research results on AI for wireless physical layer. Both the typical applications and model design for intelligent physical-layer communication are addressed. Along with a review of the literatures, the authors first present the integration of artificial intelligence (AI) and communication for sixth generation (6G) network or future communication networks. The authors also introduce the typic applications of AI on physical-layer technology, i.e., channel estimation and interpolation, the intelligent CSI feedback and precoding technologies for FDD and TDD systems, respectively, beam management for cell coverage. Finally, this SpringerBrief discusses future research directions. The authors believe the example mechanisms and demonstration of AI-based physical-layer communication and related findings could reveal useful insights for the application of AI on wireless network and spur. It's a new line of thinking for the performance improvement of future communication networks. This SpringerBrief targets advanced-level students majoring in the areas of communication engineering, information engineering, intelligent science, computer science, engineering and electrical engineering professionals and researchers seeking AI-based solutions for 6G physical-layer communications will also find this book a useful resource.
650 0 $a Wireless communication systems. $3 562740
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Wireless and Mobile Communication. $3 1207058
700 1 $a Shen, Hongrui. $3 1495426
700 1 $a Zheng, Kan. $3 1078085
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 883114
856 4 0 $u https://doi.org/10.1007/978-3-032-01367-5
950 $a Professional and Applied Computing (SpringerNature-12059)