11 citations · 15 across the 6 of their papers we have counts for
6 papers
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.…
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…
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.…
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…
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…
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…