research
∙
04/12/2022
On the Rate-Distortion-Perception Function
Rate-distortion-perception theory generalizes Shannon's rate-distortion ...
share
research
∙
01/19/2022
On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources
In this paper, we consider a distributed lossy compression network with ...
research
∙
07/31/2021
Distributed Learning for Time-varying Networks: A Scalable Design
The wireless network is undergoing a trend from "onnection of things" to...
research
∙
03/22/2021
Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks
To improve the system performance towards the Shannon limit, advanced ra...
research
∙
11/13/2019
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning
In this paper, the downlink packet scheduling problem for cellular netwo...
research
∙
07/22/2019
Realistic Channel Models Pre-training
In this paper, we propose a neural-network-based realistic channel model...
research
∙
05/15/2019
Deep Reinforcement Learning for Scheduling in Cellular Networks
Integrating artificial intelligence (AI) into wireless networks has draw...
research
∙
04/30/2019
On the Construction of G_N-coset Codes for Parallel Decoding
In this paper, we propose a type of G_N-coset codes for a highly paralle...
research
∙
04/16/2019
Reinforcement Learning for Nested Polar Code Construction
In this paper, we model nested polar code construction as a Markov decis...
research
∙
01/17/2019
