42 citations · 43 across the 16 of their papers we have counts for
6 papers · 1 filter
Learning OTA: A Unified Framework for Edge Sensing, Computation, and Communication
Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
Most federated learning (FL) studies implicitly assume that training data is readily available at participating edge devices. In practice, this data must first be acquired through…
Multi-Hop RIS ISAC for Target Positioning: A Tensor Decomposition-based Approach
Yirui Luo, Xiaoyan Ma, Yong Liang Guan +2
Reconfigurable intelligent surface (RIS) has demon- strated remarkable potential to enhance the performance of integrated sensing and communication (ISAC), particularly when the li…
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…
AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems
Seyed Mohammad Azimi-Abarghouyi, Christopher G. Brinton
This paper investigates over-the-air federated learning (AirFL) in wireless systems where the access point is equipped with a multi-waveguide pinching antenna system (PASS). We ado…
Optimal Multi-RIS Placement: Coverage-Guaranteed Sum Rate Maximization Under Inhomogeneous User Distributions
Abhishek Rajasekaran, Mehdi Karbalayghareh, Xiaoyan Ma +3
Reconfigurable Intelligent Surface (RIS) has emerged as a promising next-generation technology that improves the throughput and coverage of a wireless system. The realization of th…