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20232026
most citedCooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading

1 citations · 2 across the 22 of their papers we have counts for

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7 papers · 1 filter

cs.NI2024

Key Focus Areas and Enabling Technologies for 6G

Christopher G. Brinton, Mung Chiang, Kwang Taik Kim +14

We provide a taxonomy of a dozen enabling network architectures, protocols, and technologies that will define the evolution from 5G to 6G. These technologies span the network proto…

cs.DC2024

Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge

Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love +1

Matrix computations are a fundamental building-block of edge computing systems, with a major recent uptick in demand due to their use in AI/ML training and inference procedures. Ex…

eess.SP2024

Constant Modulus Waveform Design with Space-Time Sidelobe Reduction for DFRC Systems

Byunghyun Lee, Anindya Bijoy Das, David Love +2

Dual-function radar-communication (DFRC) is a key enabler of location-based services for next-generation communication systems. In this paper, we investigate the problem of designi…

eess.SP2024

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…

eess.SY2024

Multi-Agent Hybrid SAC for Joint SS-DSA in CRNs

David R. Nickel, Anindya Bijoy Das, David J. Love +1

Opportunistic spectrum access has the potential to increase the efficiency of spectrum utilization in cognitive radio networks (CRNs). In CRNs, both spectrum sensing and resource a…

cs.LG2024

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…

cs.IT2024

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches

Junghoon Kim, Taejoon Kim, Anindya Bijoy Das +3

Although user cooperation cannot improve the capacity of Gaussian two-way channels (GTWCs) with independent noises, it can improve communication reliability. In this work, we aim t…