1.

Record Nr.

UNINA9911020021603321

Autore

Han Rui

Titolo

IoT Signal Detection

Pubbl/distr/stampa

Newark : , : John Wiley & Sons, Incorporated, , 2024

©2024

ISBN

9781394183111

1394183119

9781394183104

1394183100

9781394183098

1394183097

Edizione

[1st ed.]

Descrizione fisica

1 online resource (208 pages)

Altri autori (Persone)

WangJingjing

BaiLin

LiuJianwei

Soggetti

Signal processing

Internet of things

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Algorithms -- About the Authors -- Foreword -- Preface -- Acknowledgements -- Acronyms -- Chapter 1 Introduction --   1.1 IoT in 5G --     1.1.1 What Is IoT --     1.1.2 Applications of IoT --     1.1.3 Future of IoT --   1.2 IoT Networks --   1.3 Characteristics of IoT Signals --   1.4 Outline -- Chapter 2 Background of IoT Signal Detection --   2.1 Random Access --     2.1.1 Grant‐based Random Access --     2.1.2 Grant‐free Random Access --   2.2 Signal Detection Methods --     2.2.1 System Model --     2.2.2 ML Detection --     2.2.3 ZF Detection --     2.2.4 MMSE Detection --     2.2.5 MCMC Detection --     2.2.6 VI Detection

Sommario/riassunto

This book delves into the complexities and methodologies of signal detection within the Internet of Things (IoT) context, particularly in relation to 5G technology. It provides a comprehensive exploration of



various signal detection techniques, including sparse signal detection, collided signal detection, and multiple delay estimation. The book is designed to serve as a resource for both graduate students and practitioners in the fields of communications and technology, offering insights into the challenges of IoT networks, signal collision, and access congestion. It also covers advanced topics such as backscatter signal detection, NOMA signal analysis, and multicluster coordination in signal design. The authors aim to equip readers with the necessary theoretical and practical knowledge to address current and future challenges in IoT signal detection.