10 papers
Machine Learning Assisted Inverse Design of Pixelated mmWave Patch Antennas
Nadeem Rather, Holger Claussen, Lester Ho
A machine learning-assisted framework for the inverse design of pixelated millimetre-wave patch antennas targeting the 22--30 GHz band is presented. The antenna surface is represen…
Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks
Joseanne Viana, Viswak R Balaji, Boris Galkin +2
Offline reinforcement learning (RL) is an attractive tool for unmanned aerial vehicle (UAV) systems, where online exploration is costly and raises safety concerns. In terrain-aware…
On Beamforming for Transmitter Location Privacy in MIMO Systems
Umair Ali Khan, Lester Ho, Holger Claussen +2
In this paper, we introduce a beamforming framework to ensure transmitter location privacy against sensing-capable MIMO receivers. We propose a novel privacy metric called the dire…
Secure Energy Efficient Wireless Transmission: A Finite v/s Infinite-Horizon RL Solution
Shalini Tripathi, Ankur Bansal, Holger Claussen +2
In this paper, a joint optimal allocation of transmit power at the source and jamming power at the destination is proposed to maximize the average secrecy energy efficiency (SEE) o…
Entanglement Request Scheduling in Quantum Networks Using Deep Q-Network
Gongyu Ni, Lester Ho, Holger Claussen
In this paper, a novel Deep Q-Network (DQN) based scheduling method to optimize delay time and fairness among entanglement requests in quantum repeater networks is proposed. The sc…
Joint Optimization of Routing and Purification to Meet Fidelity Targets in Quantum Networks
Gongyu Ni, Holger Claussen, Lester Ho
Quantum networks rely on high-fidelity entanglement links, but achieving target fidelity often increases latency and Bell pair consumption due to purification. This paper proposes…
Enhancing UAV Path Planning Efficiency Through Accelerated Learning
Joseanne Viana, Boris Galkin, Lester Ho +1
Unmanned Aerial Vehicles (UAVs) are increasingly essential in various fields such as surveillance, reconnaissance, and telecommunications. This study aims to develop a learning alg…
Joint Transmit and Jamming Power Optimization for Secrecy in Energy Harvesting Networks: A Reinforcement Learning Approach
Shalini Tripathi, Chinmoy Kundu, Animesh Yadav +3
In this paper, we address the problem of joint allocation of transmit and jamming power at the source and destination, respectively, to enhance the long-term cumulative secrecy per…
Multi-task Learning-based Joint CSI Prediction and Predictive Transmitter Selection for Security
Shashi Bhushan Kotwal, Chinmoy Kundu, Sudhakar Modem +2
In mobile communication scenarios, the acquired channel state information (CSI) rapidly becomes outdated due to fast-changing channels. Opportunistic transmitter selection based on…
Experimental Evaluation of Air-to-Ground VHF Band Communication for UAV Relays
Boris Galkin, Lester Ho, Ken Lyons +2
Unmanned Aerial Vehicles (UAVs) are a disruptive technology that is transforming a range of industries. Because they operate in the sky, UAVs are able to take advantage of strong L…