activity
20152023
most citedComputational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT

11 citations · 25 across the 8 of their papers we have counts for

collaborators

9 papers

cs.IT2023★ 3 cited

Contrastive Learning based Semantic Communication for Wireless Image Transmission

Shunpu Tang, Qianqian Yang, Lisheng Fan +3

Recently, semantic communication has been widely applied in wireless image transmission systems as it can prioritize the preservation of meaningful semantic information in images o…

eess.SP2022

Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing

Yurong Qian, Jindan Xu, Shuhan Zhu +3

In this paper, we consider a multiuser mobile edge computing (MEC) system, where a mixed-integer offloading strategy is used to assist the resource assignment for task offloading.…

cs.LG2021★ 11 cited

Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT

Shunpu Tang, Lunyuan Chen, Ke HeJunjuan Xia +2

In this paper, we investigate how to deploy computational intelligence and deep learning (DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can collabora…

cs.IT2021★ 7 cited

Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems

Shunpu Tang, Junjuan Xia, Lisheng Fan +3

Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) system can offer high spectral and energy efficiency, it requires to feedback the downlin…

cs.LG2021★ 2 cited

Learning based signal detection for MIMO systems with unknown noise statistics

Ke He, Le He, Lisheng Fan +3

This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) systems.…

cs.LG2021

Towards Optimally Efficient Search with Deep Learning for Large-Scale MIMO Systems

Le He, Ke He, Lisheng Fan +3

This paper investigates the optimal signal detection problem with a particular interest in large-scale multiple-input multiple-output (MIMO) systems. The problem is NP-hard and can…

eess.SP2020

AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems

Yuyao Sun, Wei Xu, Lisheng Fan +2

Accurate channel state information (CSI) feedback plays a vital role in improving the performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the dilemma…

cs.IT2019

A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing

Shuhan Zhu, Wei Xu, Lisheng Fan +2

In this paper, we propose a novel offloading learning approach to compromise energy consumption and latency in multi-tier network with mobile edge computing. In order to solve this…

cs.IT2015★ 2 cited

Near-Optimal Modulo-and-Forward Scheme for the Untrusted Relay Channel

Shengli Zhang, Lisheng Fan, Mugen Peng +1

This paper studies an untrusted relay channel, in which the destination sends artificial noise simultaneously with the source sending a message to the relay, in order to protect th…