Software Implementation of 10G-EPON Upstream Physical-Layer Processing for Flexible Access Systems

This paper summarizes our studies on the software implementation of passive optical network (PON) physical-layer (PHY) processing to maximize the flexibility of the optical line terminal in access systems and demonstrates the softwarization of complete 10G-EPON upstream PHY of an optical system for the first time. Softwarization based on general-purpose hardware is more difficult to implement successfully than the application-specific integrated circuits used by dedicated hardware due to the marginal performance. Our work utilizes general-purpose graphic processing units (GPUs) as the implementation device as they offer significant computation performance. Our key advances that yield the softwarization of PON PHY processing, the GPU direct transfer technique, and a low-complexity algorithm are described. In addition, this paper describes the parallel implementation method of PON PHY decoding for upstream transmission. Demonstration results show that the proposed algorithm together with implementation satisfy the 10G-EPON standard by achieving 10.3125 Gb/s real-time processing.

[1]  Jun-ichi Kani,et al.  10-Gbps Real-time Burst-Frame Synchronization Using Dual-Stage Detection for Full-Software Optical Access Systems , 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).

[2]  Toshihiro Hanawa,et al.  Parallelization of cipher algorithm on CPU/GPU for real-time software-defined access network , 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

[3]  Takashi Inoue,et al.  Virtualization of EPON OLT functions and collision suppression techniques for Multi-Point MAC control , 2016, 2016 Optical Fiber Communications Conference and Exhibition (OFC).

[4]  Junichi Kani,et al.  Real-Time Demonstration of PHY Processing on CPU for Programmable Optical Access Systems , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[5]  Bormin Huang,et al.  Accelerating Regular LDPC Code Decoders on GPUs , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[6]  Yong Dou,et al.  A multi-standard efficient column-layered LDPC decoder for Software Defined Radio on GPUs , 2013, 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[7]  Jun-ichi Kani,et al.  Software Implementation of PON Physical-Layer Processing for Fully Software-Defined Optical Access Systems , 2018, 2018 European Conference on Optical Communication (ECOC).

[8]  Larry L. Peterson,et al.  Central office re-architected as a data center , 2016, IEEE Communications Magazine.

[9]  Takashi Yamada,et al.  Design of softwarized EPON OLT and its transmission jitter suppression techniques over MPCP , 2017, 2017 Optical Fiber Communications Conference and Exhibition (OFC).

[10]  Jun-ichi Kani,et al.  Flexible Access System Architecture (FASA) to Support Diverse Requirements and Agile Service Creation , 2018, Journal of Lightwave Technology.

[11]  Jun-ichi Kani,et al.  10-Gb/s Software Implementation of Burst-Frame Synchronization Using Array-Access Bitshift and Dual-Stage Detection for Flexible Access Systems , 2018, Journal of Lightwave Technology.

[12]  Yong Lin,et al.  High Throughput LDPC Decoder on GPU , 2014, IEEE Communications Letters.

[13]  Jun-ichi Kani,et al.  Demonstration of 10-Gbps Real-Time Reed–Solomon Decoding Using GPU Direct Transfer and Kernel Scheduling for Flexible Access Systems , 2018, Journal of Lightwave Technology.