57 citations · 303 across the 63 of their papers we have counts for
9 papers · 1 filter
Multi-lingual agents through multi-headed neural networks
J. D. Thomas, R. Santos-Rodríguez, R. Piechocki +1
This paper considers cooperative Multi-Agent Reinforcement Learning, focusing on emergent communication in settings where multiple pairs of independent learners interact at varying…
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
Peizheng Li, Jonathan Thomas, Xiaoyang Wang +8
Radio access network (RAN) technologies continue to evolve, with Open RAN gaining the most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) are…
OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors
Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma +8
This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from synchronized R…
Low latency allcast over broadcast erasure channels
Mark A. Graham, Ayalvadi J. Ganesh, Robert J. Piechocki
Consider n nodes communicating over an unreliable broadcast channel. Each node has a single packet that needs to be communicated to all other nodes. Time is slotted, and a time slo…
Bounds on Eavesdropper Performance for a MIMO-NOMA Downlink Scheme
Jennifer Chakravarty, Oliver Johnson, Robert Piechocki
Non-Orthogonal Multiple Access (NOMA) is a multiplexing technique for future wireless, which when combined with Multiple-Input Multiple-Output (MIMO) unlocks higher capacities for…
Self-Supervised WiFi-Based Activity Recognition
Hok-Shing Lau, Ryan McConville, Mohammud J. Bocus +2
Traditional approaches to activity recognition involve the use of wearable sensors or cameras in order to recognise human activities. In this work, we extract fine-grained physical…