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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: [email protected] 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. [PDF] Q. H. Abbasi, A. Alomainny, N. A. A. Ali, Y. Deng, M. A. Imran,