Demonstration of Adaptive Image Transmission That Meets Various Application Requirements in 10G-EPON

Abstract

To accommodate various applications in optical access systems, the Software-Defined Network (SDN) with edge computing is the key allowing telecom operators to achieve flexible and cost-effective deployment. To control the various network functions needed to meet the variety of requests, softwarization of all access system functions, including transmission functions, and open Application Programming Interfaces (APIs) have been studied. As well as function changes, we aim at maximizing the merits of SDN by adaptively configuring network function parameters to meet individual application requirements. This paper proposes a novel access system architecture with configuration optimizer that adaptively generates parameter configuration values from application requirements, and adaptive configuration values for image transmission to enhance computation efficiency. Our proposal includes Forward Error Correction (FEC) with error correction control in decoding to suit image quality requirements. Our proposal is implemented on a general-purpose server and we demonstrate its performance using the softwarized 10G-EPON Physical Coding Sublayer (PCS) functionality on an optical system. The demonstration results show that the proposed algorithm adjusts the error correction capability of FEC, and that the received image quality approaches the required value. Evaluations of FEC computation load show that the processing time of FEC is reduced compared to the standard functions of 10G-EPON depending on the optical received power and the required image quality by adjusting the error correction capability.

Keywords

• Software defined network
• network functions virtualization
• access network
• edge computing
• image transmission and forward error correction