Dr Yansha Deng's Home Page

Author: dys206

Paper Accepted –Enhancing Secrecy Rate in Cognitive Radio Networks via Multi-level Stackelberg Game

The paper “Enhancing Secrecy Rate in Cognitive Radio Networks via Multi-level Stackelberg Game” was accepted in IEEE Communication Letter.

Paper Accepted – Molecular Communication with a Reversible Adsorption Receiver

The paper “Molecular Communication with a Reversible Adsorption Receiver” was accepted in ICC 2016.

Paper Accepted – K-tier Heterogeneous Cellular Networks with Wireless Power Transfer

The paper “K-tier Heterogeneous Cellular Networks with Wireless Power Transfer” was accepted in ICC 2016.

Posted to arXiv – Modeling and Simulation of Molecular Communication Systems with a Reversible Adsorption Receiver

The paper “Modeling and Simulation of Molecular Communication Systems with a Reversible Adsorption Receiver” was posted to arXiv. This paper was submitted to IEEE Transactions on Molecular, Biological, and Multi-Scale Communications.

Paper Accepted -Physical layer security in three-tier wireless sensor networks: A stochastic geometry approach

The paper “Physical layer security in three-tier wireless sensor networks: A stochastic geometry approach” was accepted in IEEE Trans. Inf. Forensics Security.

News

Paper Accepted -Physical layer security in three-tier wireless sensor networks: A stochastic geometry approach . 2016-01-18 The paper “Physical layer security in three-tier wireless sensor networks: A stochastic geometry approach” was accepted in IEEE Trans. Inf. Forensics Security.   Posted to arXiv – Modeling and Simulation of Molecular Communication Systems with a Reversible Adsorption Receiver

Contact

Mail: Department of Engineering King’s College London Strand Building (S) 2.42, Strand Campus, London, UK, WC2R 2LS Email: yansha.deng@kcl.ac.uk Tel: +44 (0)20 7848 8671

Activities

Tutorials H. Zhang, Y. Deng, A. Nallanathan, “Deep Learning and Reinforcement Learning for Wireless Network Optimization”, IEEE EuCNC & 6G Summit, Jun. 2022. H. Zhang, Y. Deng, A. Nallanathan, “Deep Learning and Reinforcement Learning for Wireless Network Optimization”, IEEE Globecom, Dec. 2021. H. Zhang, Y. Deng, A. Nallanathan, “Deep Learning and Reinforcement Learning for Wireless Network Optimization in

Publications

Book Chapters W. Guo, Y. Deng, A. Nallanathan, B. Li, C. Zhao, “Wireless Information and Power Transfer: A New Green Communications Paradigm,” Chapter: “Multi-Scale Energy Harvesting,” Springer, ISBN-13: 978-3-319-56668-9, Jun 2017. [Link] Y. Deng, “Encyclopedia of Wireless Networks,” Chapter: “Reaction-Diffusion Channels,” Springer,  2018. B. Yang, L. Zhang, Y. Deng, Muhammad Ali Imran, “5G-Enabled Internet of Things,” Chapter: “Narrowband Internet of Things (NB-IoT) and Broadband LTE Coexisting System,”