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- In this paper, we introduce AirNet, a family of novel training and transmission methods that allow DNNs to be efficiently delivered over wireless channels under stringent transmit power and latency constraints.
arxiv.org/abs/2105.11166[2105.11166] AirNet: Neural Network Transmission over the Air
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May 24, 2021 · In AirNet, we propose the direct mapping of the DNN parameters to transmitted channel symbols, while the network is trained to meet the channel constraints, and exhibit robustness against channel noise. AirNet achieves higher accuracy compared to separation-based alternatives.
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State-of-the-art performance for many edge applications is...
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PDF - [2105.11166] AirNet: Neural Network Transmission over...
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Apr 19, 2024 · In AirNet, we propose to directly map the DNN parameters to the transmitted channel symbols, while training the network under the channel constraints with robustness to channel noise. AirNet achieves higher accuracy compared to the separation-based alternatives.
AirNet Networks offers the best value-for-money broadband using our fiber optics network covering majority of midtown. Network architecture is based on Cisco, Maipu, Huawei, Mikrotik hardware enabling guaranteed stability and quality.
that the proposed AirNet architecture and training strategies achieve superior accuracy com- pared to separation-based methods, which employ DNN compression followed by separate channel coding.
Our strategy, called AirNet, allows us to greatly reduce the bandwidth as well as the computational burden of encoding and decoding. Our approach also reduces the requirement for accurate channel estimation.
Sep 10, 2023 · AirNet, short for “Aerial Networking,” is a cutting-edge wireless communication technology that leverages drones, balloons, or other airborne devices to extend internet coverage to...
Jun 26, 2022 · We show that AirNet achieves significantly higher test accuracy compared to the separation-based alternative, and exhibits graceful degradation with channel quality. Published in: 2022 IEEE International Symposium on Information Theory (ISIT)
