With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …

In this paper, we implement an optical fiber communication system as an end-to-end deep
neural network, including the complete chain of transmitter, channel model, and receiver …

Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …

Client-side optics are facing an ever-increasing upgrading pace, driven by upcoming 5G
related services and datacenter applications. The demand for a single lane data rate is soon …

We propose a new machine-learning approach for fiber-optic communication systems
whose signal propagation is governed by the nonlinear Schrödinger equation (NLSE). Our …

We investigate the risk of overestimating the performance gain when applying neural
network-based receivers in systems with pseudorandom bit sequences or with limited …

Abstract Machine learning techniques have proven very efficient in assorted classification
tasks. Nevertheless, processing time-dependent high-speed signals can turn into an …

In response to growing demands on data traffic, silicon (Si) photonics has emerged as a
promising technology for ultra-high-speed and low-cost optical interconnects. However …

Nonlinear distortion from a directly modulated laser (DML) is one of the major limiting factors
to enhance the transmission capacity beyond 10 Gb/s for an intensity modulation direct …

The cloud edge data center will enable reliable and low latency options for the network, and
the interconnection among these data-centers will demand a scalable low-complexity …