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Advanced Fiber Access Networks

  • 1st Edition - August 11, 2022
  • Latest edition
  • Authors: Cedric F. Lam, Shuang Yin, Tao Zhang
  • Language: English

Advanced Fiber Access Networks takes a holistic view of broadband access networks—from architecture to network technologies and network economies. The book reviews pain points an… Read more

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Description

Advanced Fiber Access Networks takes a holistic view of broadband access networks—from architecture to network technologies and network economies. The book reviews pain points and challenges that broadband service providers face (such as network construction, fiber cable efficiency, transmission challenges, network scalability, etc.) and how these challenges are tackled by new fiber access transmission technologies, protocols and architecture innovations. Chapters cover fiber-to-the-home (FTTH) applications as well as fiber backhauls in other access networks such as 5G wireless and hybrid-fiber-coax (HFC) networks. In addition, it covers the network economy, challenges in fiber network construction and deployment, and more.

Finally, the book examines scaling issues and bottlenecks in an end-to-end broadband network, from Internet backbones to inside customer homes, something rarely covered in books.

Key features

  • Provides the latest information on end-to-end broadband access networks, from architecture to network technologies and network economies

Readership

Industry engineers, network operators university students and researchers

Table of contents

1. Introduction

2. Advanced PON standards: 10G, 25G, 50G, 100G and beyond

3. WDM in fiber access networks

4. Coherent PON networks

5. Optoelectronic technologies and implementation challenges for next generation PONs

6. DSP in fiber access networks

7. End-to-end fiber access system & network scaling

8. Converged fiber/wireless networks

Product details

  • Edition: 1
  • Latest edition
  • Published: August 11, 2022
  • Language: English

About the authors

CL

Cedric F. Lam

Cedric Lam was co-founder of Google Fiber which changed the landscape of broadband access networks in North America with the introduction of nationwide Gigabit FTTH networks. Cedric has experience both in product development and in engineering service provider networks. He started his career with AT&T and later joined Opvista, a startup company building high-capacity optical transport equipment, as chief system architect. After Opvista, he joined Google to work on datacenter networks before embarking the effort on Google Fiber, where he was Engineering Director, leading the Architecture and Device Engineering team. He is now Principal Engineer in Google’s Technical Infrastructure team, leading the development of datacenter network architectures and the development of network generation optical interconnects for datacenter networks. Cedric is a member of the CORD Technical Steering Team, and Fellow of Optica. He also edited the first textbook in PON: Passive Optical Networks, Principles and Practice, Academic Press, 2007.
Affiliations and expertise
Principal Engineer, Google LLC, Mountain View, CA, USA

SY

Shuang Yin

Shuang Yin is a staff hardware engineer at Google, working on optical technologies for machine learning applications. Prior to this, he was a senior hardware engineer at Google Fiber, where he was involved in developing next generation fiber access technologies and the metro transport network architecture for Fiber-to-the-Home networks. Shuang’s research covers optical access network architectures, advanced modulation formats, and digital signal processing in high-speed optical communication systems. He received M.S. and Ph.D. degrees in Electrical Engineering from Stanford University.
Affiliations and expertise
Staff Hardware Engineer, Google LLC, Mountain View, CA, USA

TZ

Tao Zhang

Tao Zhang is a Senior Hardware Engineer at Argo AI, where he is working on the hardware development for Argo AI’s autonomous driving technologies. Prior to Argo AI, Tao was with Google. He was a hardware engineer at Google Fiber, designing next generation tunable optical transceivers, and a researcher at Google AI, working on the edge-TPU product development and doing research on machine learning hardware. Tao has experience on both transistor-level and board-level circuit/hardware designs. Before joining Google, he spent 10 years at several companies and institutions, including VIA technologies, LSI corporation and CERN, working on Integrated Circuit Design and Verification. His research interests are high-speed circuit design and machine learning hardwares.
Affiliations and expertise
Senior Hardware Engineer, Argo AI, Palo Alto, CA, USA

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