1.2k citations · 2.5k across the 25 of their papers we have counts for
30 papers
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design
Minsu Kim, Walid Saad, Mohammad Mozaffari +1
In this paper, a green-quantized FL framework, which represents data with a finite precision level in both local training and uplink transmission, is proposed. Here, the finite pre…
Toward Smaller and Lower-Cost 5G Devices with Longer Battery Life: An Overview of 3GPP Release 17 RedCap
Sandeep Narayanan Kadan Veedu, Mohammad Mozaffari, Andreas Hoglund +4
The fifth generation (5G) wireless technology is primarily developed to support three classes of use cases, namely, enhanced mobile broadband (eMBB), ultra-reliable and low-latency…
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
Minsu Kim, Walid Saad, Mohammad Mozaffari +1
Deploying federated learning (FL) over wireless networks with resource-constrained devices requires balancing between accuracy, energy efficiency, and precision. Prior art on FL of…
Towards 6G with Connected Sky: UAVs and Beyond
Mohammad Mozaffari, Xingqin Lin, Stephen Hayes
The large-scale and ever-growing use of unmanned aerial vehicles (UAVs) in a wide range of applications is foreseen to be a major part of beyond 5G and 6G wireless networks in the…
Coverage Evaluation for 5G Reduced Capability New Radio (NR-RedCap)
Saeedeh Moloudi, Mohammad Mozaffari, Sandeep Narayanan Kadan Veedu +4
The fifth generation (5G) wireless technology is primarily designed to address a wide range of use cases categorized into the enhanced mobile broadband (eMBB), ultra-reliable and l…
5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach
Yun Chen, Xingqin Lin, Talha Khan +2
Direct air-to-ground (A2G) communications leveraging the fifth-generation (5G) new radio (NR) can provide high-speed broadband in-flight connectivity to aircraft in the sky. A2G ne…