19 papers
Distributed Edge Learning under Imperfect Data Sensing
Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
Distributed learning systems typically assume that local data is already available at clients with fixed quality, while in practice, data is sensed through imperfect physical proce…
AISAC: Closing the Loop Between AI and Integrated Sensing and Communication for 6G
Mehdi Karbalayghareh, Abhishek Rajasekaran, Xiaoyan Ma +2
Integrated sensing and communication (ISAC) and AI-and-communication (AIAC) are identified as separate usage scenarios in the ITU IMT-2030 vision for sixth-generation (6G) networks…
Optimal Multi-RIS Placement: Coverage-Guaranteed Sum Rate Maximization Under Inhomogeneous User Distributions
Abhishek Rajasekaran, Mehdi Karbalayghareh, Xiaoyan Ma +2
The realization of the full potential of Reconfigurable Intelligent Surfaces (RIS) in a wireless system is tied to their strategic spatial deployment. While existing literature pri…
Unlocking Realism and Interpretability in Wireless Channel Synthesis: A Physics-Guided Generative Approach
Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad +3
In recent years, machine learning (ML) methods have become increasingly popular for wireless communication systems. These require large amounts of data reflecting the behavior of r…
Coherence-Aware Over-the-Air Distributed Learning under Heterogeneous Link Impairments
Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
Distributed machine learning (ML) over wireless networks hinges on accurate channel state information (CSI) and efficient exchange of high-dimensional model updates. These demands…
Optimal RIS Placement in Multi-User MISO Systems with User Randomness
Abhishek Rajasekaran, Mehdi Karbalayghareh, Xiaoyan Ma +2
It is well established that the performance of reconfigurable intelligent surface (RIS)-assisted systems critically depends on the optimal placement of the RIS. Previous works cons…