From the Back Cover
Fiber access networks have advanced significantly in the past several years. The ITU-T G.984 based G-PON has become the de facto FTTH standard for telcos in the past 10 years. The debut of the Google Fiber program in 2010 significantly stimulated deployments of Gigabit capable access networks around the world. New applications such as OTT streaming, AR & VR have also generated new bandwidth and latency requirements in broadband access networks.
Advanced Fiber Access Networks takes a holistic view of end-to-end broadband access networks -from architecture to network technologies and network economies. It reviews the 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.
The book covers 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. It has extensive coverage of the network economy, the challenges in fiber network construction and deployment, and how new access architectures and technologies can help to solve these issues. Finally, it examines the scaling issues and bottlenecks in an end-to-end broadband network: from internet backbones to inside the customer home, something rarely covered in books.
For researchers, system and equipment vendors this book offers the insights of where operators’ pain points are and how systems should be optimized to solve them. For operators, this book describes the network generation technologies on the horizon and the considerations they should take into account when they evolve their networks.
Both authors are deeply engaged in new technology development, working closely with component and system vendors as well as standard bodies, while working at Google Fiber, the ISP operator. This book reflects the authors’ unique experience.
About the Author
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.
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.
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.
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