7 papers
Transmit Coefficients and Receive Combining Vector Design for OTA-FL with Imperfect CSI
Xiaoyan Ma, Shahryar Zehtabi, Yinan Zou +2
Over-the-air (OTA) computation has recently gained significant attentions as an effective approach to enhance the communication efficiency of wireless federated learning (FL). By e…
Pilot Contamination-Aware Graph Attention Network for Power Control in CFmMIMO
Tingting Zhang, Sergiy A. Vorobyov, David J. Love +2
Optimization-based power control algorithms are predominantly iterative with high computational complexity, making them impractical for real-time applications in cell-free massive…
Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning
Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim +2
Recently, deep learning approaches have provided solutions to difficult problems in wireless positioning (WP). Although these WP algorithms have attained excellent and consistent p…
Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features
Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim +2
A recent line of research has been investigating deep learning approaches to wireless positioning (WP). Although these WP algorithms have demonstrated high accuracy and robust perf…
Protecting Legacy Wireless Systems Against Interference: Precoding and Codebook Approaches Using Massive MIMO and Region Constraints
Sameer Mathad, Taejoon Kim, David J. Love
The ever-increasing demand for high-speed wireless communication has generated significant interest in utilizing frequency bands that are adjacent to those occupied by legacy wirel…
Error Analysis for Over-the-Air Federated Learning under Misaligned and Time-Varying Channels
Xiaoyan Ma, Shahryar Zehtabi, Taejoon Kim +1
This paper investigates an OFDM-based over-the-air federated learning (OTA-FL) system, where multiple mobile devices, e.g., unmanned aerial vehicles (UAVs), transmit local machine…