activity
20092024
most citedBeam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles

57 citations · 303 across the 63 of their papers we have counts for

collaborators
Showing 2022Show all

9 papers · 1 filter

cs.CR2022★ 1 cited

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection

James Pope, Jinyuan Liang, Vijay Kumar +13

Security research has concentrated on converting operating system audit logs into suitable graphs, such as provenance graphs, for analysis. However, provenance graphs can grow very…

cs.IT2022

Extensions on `A Convex Scheme for the Secrecy Capacity of a MIMO Wiretap Channel with a Single Antenna Eavesdropper'

Jennifer Chakravarty, Oliver Johnson, Robert Piechocki

One key metric for physical layer security is the secrecy capacity. This is the maximum rate that a system can transmit with perfect secrecy. For a Multiple Input Multiple Output (…

cs.NI2022

Federated Meta-Learning for Traffic Steering in O-RAN

Hakan Erdol, Xiaoyang Wang, Peizheng Li +7

The vision of 5G lies in providing high data rates, low latency (for the aim of near-real-time applications), significantly increased base station capacity, and near-perfect qualit…

cs.NI2022

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning

Peizheng Li, Hakan Erdol, Keith Briggs +7

Setting the transmit power setting of 5G cells has been a long-term topic of discussion, as optimized power settings can help reduce interference and improve the quality of service…

eess.SP2022

Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition

Armand K. Koupai, Mohammud J. Bocus, Raul Santos-Rodriguez +2

The pervasiveness of Wi-Fi signals provides significant opportunities for human sensing and activity recognition in fields such as healthcare. The sensors most commonly used for pa…

cs.AI2022★ 1 cited

Multimodal sensor fusion in the latent representation space

Robert J. Piechocki, Xiaoyang Wang, Mohammud J. Bocus

A new method for multimodal sensor fusion is introduced. The technique relies on a two-stage process. In the first stage, a multimodal generative model is constructed from unlabell…