First-Order Newton-Type Estimator for Distributed Estimation and Inference

This article studies distributed estimation and inference for a general statistical problem with a convex loss that could be nondifferentiable. For the purpose of efficient computation, we restrict…

Multi-Dimensional Distribution Matching With Bit-Level Shaping for Probabilis…

In this paper, multi-dimensional distribution matching (MDDM) based on bit-level shaping is proposed to implement probabilistic shaping (PS) for high order modulation formats. MDDM is optimized acr…

A Meta-Learning-Assisted Training Framework for Physical Layer Modeling in Op…

An accurate quality of transmission (QoT) estimation can help to reduce the design margin of optical network planning. The physical layer impairments (PLI) modeling can be the basis of QoT estimati…

Distinct Continuous Maps with All Riemann Sums Equal

A Novel Virtual-Cluster Based Architecture of Double-Layer Optical Networks-o…

New coincidence point theorems in continuous function spaces and applications