Scaling of Current PON Technologies to Meet the CPON Goals of 100Gbps and Beyond (2023)

By Karthik Sundaresan, CableLabs; Zhensheng (Steve) Jia, Ph.D., CableLabs; Kevin Noll, Vecima

Passive Optical Network (PON) is a fiber-optic telecommunications network that uses point-to-multipoint architecture to provide high-speed data, voice, and video services to subscribers. PON is the dominant solution to provide broadband services using fiber to the premises (FTTP). Operators look to expand access to more people and geographically remote areas in a cost-effective method. There is a need for new PON technology with higher capacities and longer reach and CableLabs has launched the Coherent PON (CPON) project to future-proof operator networks and deliver 100Gbps over PON (with coherent optical technology). Adapting existing standards to this new CPON technology is an advantageous approach. This needs an investigation of existing standards, to understand how to scale them to the speeds and capacities of CPON, which is the main goal of this paper. EPON (Ethernet Passive Optical Network) and GPON (Gigabit Passive Optical Network) are two main PON technologies and cable operators are deploying both. While these PON technologies share similar architecture and topology they differ in many ways. This paper discusses the similarities and differences for the latest version of these technologies (ITU-T [GPON-G.HSP] and IEEE [Nx25G-EPON]). The focus will be on understanding the different layers of each technology and discussing the functional equivalence between the two and areas where they differ from each other. Reusing technology layers from existing standards saves development time. Also, reusing many of the components of ASIC/silicon design implementations will reduce the cost of this new CPON solution. This paper highlights different factors of the existing GPON and EPON technologies that will need to be modified to reach these goals. This analysis includes a study of aspects such as the framing sublayer, fundamental line rates, effective data rates, FEC encoding/decoding, upstream scheduling/granting mechanisms, channel bonding, and provisioning etc. This paper aims to give an understanding of the current technologies and how those could be scaled to meet 100Gbps and beyond with CPON.

By clicking the "Download Paper" button, you are agreeing to our terms and conditions.

Similar Papers

Revolutionizing Access Networks: How TFDM Coherent PON Combines the Best of TDM and WDM PONs
By Zhensheng (Steve) Jia, Ph.D., CableLabs; Haipeng Zhang, Ph.D., CableLabs; L. Alberto Campos, Ph.D., CableLabs
Coherent PON Poised to Become Cable’s Next Long Term Evolution Access Platform
By Zhensheng (Steve) Jia, Ph.D., L. Alberto Campos, Ph.D, Haipeng Zhang, Ph.D., Chris Stengrim, Curtis Knittle, Ph.D.; CableLabs
Constructing a Convergence Lab: Lessons Learned From Building a Converged Network at CableLabs
By Matthew Schmitt, CableLabs
Delivering Access Beyond 10G: Coherent Subcarrier Aggregation as Backhaul for Next-Generation R-OLT, RMD, and Wireless
By Colin Howlett & Kevin A. Noll, Vecima; Aaron Chase & Antonio Napoli, Infinera; Jay Rolls, Pacband
The Scheduler and the Tap: The Odd Infrastructure Couple
By L. Alberto Campos, Lin Cheng, Zhensheng (Steve) Jia, Jing Wang & Chris Stengrim, CableLabs
Understanding Latency across PON systems (With few comparisons to DOCSIS systems)
By Karthik Sundaresan, CableLabs; Evariste Some, CableLabs, & University of Colorado, Boulder
Impact of Access Environment in Cable’s Digital Coherent System – Coexistence and Full Duplex Coherent Optics
By Zhensheng (Steve) Jia, Ph.D., L. Alberto Campos, Ph.D., Mu Xu, Ph.D., Haipeng Zhang, Ph.D., Jing Wang, Ph.D. & Curtis Knittle, Ph.D., CableLabs
Ultra Low-Cost Injection-locked FP Laser Source for Coherent Access Networks
By Zhensheng (Steve) Jia, Ph.D., L. Alberto Campos, Ph.D., Mu Xu, Ph.D, Haipeng Zhang, Ph.D., Junwen Zhang, Ph.D., Chris Stengrim & Curtis Knittle, Ph.D., CableLabs
An Architecture for Distributed EPON Access
By Kevin A. Noll, Tibit Communications; Steve Burroughs & Brionna Lopez, Cablelabs
Remote PON Network Performance
By Edward Boyd, Tibit Communications, Kevin A. Noll, Time Warner Cable, Saifur Rahman & Nagesh Nandiraju, Comcast Cable, and Fernando Villarruel, Cisco Systems
More Results >>