Search Results for author: Yuting Fang

Found 6 papers, 1 papers with code

Graph Neural Networks for Physical-Layer Security in Multi-User Flexible-Duplex Networks

no code implementations8 Feb 2024 Tharaka Perera, Saman Atapattu, Yuting Fang, Jamie Evans

This paper explores Physical-Layer Security (PLS) in Flexible Duplex (FlexD) networks, considering scenarios involving eavesdroppers.

Coexistence of OTFS Modulation With OFDM-based Communication Systems

no code implementations12 Nov 2023 Akram Shafie, Jinhong Yuan, Yuting Fang, Paul Fitzpatrick, Taka Sakurai

We also show that the effective DD domain channel coefficients for OTFS in coexisting systems are influenced by the unequal lengths of the CPs.

Molecular Communication for Quorum Sensing Inspired Cooperative Drug Delivery

no code implementations15 Feb 2023 Yuting Fang, Stuart T. Johnston, Matt Faria, Xinyu Huang, Andrew W. Eckford, Jamie Evans

Our results show that the activation probability at the B-NM increases as this B-NM is located closer to the center of the B-NM population and the aggregate absorption rate of the drug molecules non-linearly increases as the population density increases.

Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks

1 code implementation20 Jan 2023 Tharaka Perera, Saman Atapattu, Yuting Fang, Prathapasinghe Dharmawansa, Jamie Evans

Flexible duplex networks allow users to dynamically employ uplink and downlink channels without static time scheduling, thereby utilizing the network resources efficiently.

Combinatorial Optimization Management +1

Optimum Reconfigurable Intelligent Surface Selection for Wireless Networks

no code implementations22 Dec 2020 Yuting Fang, Saman Atapattu, Hazer Inaltekin, Jamie Evans

The reconfigurable intelligent surface (RIS) is a promising technology that is anticipated to enable high spectrum and energy efficiencies in future wireless communication networks.

Information Theory Information Theory

Expected Density of Cooperative Bacteria in a 2D Quorum Sensing Based Molecular Communication System

no code implementations1 Dec 2018 Yuting Fang, Adam Noel, Andrew W. Eckford, Nan Yang

The number of molecules observed at each randomly-distributed bacterium is first derived by characterizing the diffusion and degradation of signaling molecules within the population.

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