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20192025
most citedSecure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks

27 citations · 67 across the 19 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.IT2023

Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications

Xin Hao, Phee Lep Yeoh, Yuhong Liu +3

This paper designs a graph neural network (GNN) to improve bandwidth allocations for multiple legitimate wireless users transmitting to a base station in the presence of an eavesdr…

cs.LG2023★ 27 cited

Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks

Xin Hao, Phee Lep Yeoh, Changyang She +2

This paper proposes a blockchain-secured deep reinforcement learning (BC-DRL) optimization framework for {data management and} resource allocation in decentralized {wireless mobile…

cs.IT2023★ 8 cited

Frozen Set Design for Precoded Polar Codes

Vera Miloslavskaya, Yonghui Li, Branka Vucetic

This paper focuses on the frozen set design for precoded polar codes decoded by the successive cancellation list (SCL) algorithm. We propose a novel frozen set design method, whose…

cs.CV2023★ 1 cited

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection

Yan Lu, Xinzhu Ma, Lei Yang +6

Geometry plays a significant role in monocular 3D object detection. It can be used to estimate object depth by using the perspective projection between object's physical size and 2…

eess.SP2023

Hybrid NOMA assisted Integrated Sensing and Communication via RIS

Wanting Lyu, Yue Xiu, Xinyang Li +4

This paper investigates the optimization of reconfigurable intelligent surface (RIS) in an integrated sensing and communication (ISAC) system. \red{To meet the demand of growing nu…

cs.IT2023★ 1 cited

Weighted Sum Rate Enhancement by Using Dual-Side IOS-Assisted Full-Duplex for Multi-User MIMO Systems

Sisai Fang, Gaojie Chen, Chong Huang +4

This paper established a novel multi-input multi-output (MIMO) communication network, in the presence of full-duplex (FD) transmitters and receivers with the assistance of dual-sid…

cs.IT2023★ 1 cited

An Efficient Machine Learning-based Channel Prediction Technique for OFDM Sub-Bands

Pedro E. G. Silva, Jules M. Moualeu, Pedro H. Nardelli +1

The acquisition of accurate channel state information (CSI) is of utmost importance since it provides performance improvement of wireless communication systems. However, acquiring…