1. Coherent Technologies for Metro and Access Applications

报告人：Dr. Xiaodan Pang
 

报告时间：周三22日3：00PM
 

报告地点：电院5-508

报告人简介:

Dr. Xiaodan Pang is currently working at Infinera Corporation Global R&D as a PI of EU H2020 Marie-Curie Individual Fellowship Project NEWMAN (Next-generation WDM Metro and Access Networks). He has 10+ years’ experience in R&D of high-speed telecom and datacom systems and subsystems, focusing on state-of-the-art DSP and coding, with great interests in fiber-optic systems, mm-wave and terahertz photonics, free-space optics and photonic integration techniques.
 

报告简介

In this talk, I summarize our recent research works on enabling coherent optical transmission systems for metro and access networks with low-complexity digital signal processing techniques, focusing on reduction of laser linewidth requirement with efficient carrier phase recovery.

2. Benefits of Machine Learning for Slice Admission in 5G Networks

报告人：Prof. Paolo Monti
 

报告时间：周三22日4：00PM
 

报告地点：电院5-508

报告人简介

Prof. Paolo Monti is with the Department of Electrical Engineering at Chalmers University of Technology as a Professor in Optical Networks where he is also leading the Optical Networks Research Unit. His current research interests are within the architectural, technological, programmability, and sustainability challenges of 5G network infrastructures.

报告简介

The talk discusses how the slice admission problem can be aided by machine learning strategies. Results show that both supervised and reinforcement learning might lead to profit maximization while containing losses due to performance degradation.

END
 

编辑：小光