In order to use datasets collected from multiple vehicles to train a machine learning model while ensuring vehicle user privacy, federal learning framework was introduced into the Internet of Vehicles. Federated learn...
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In order to use datasets collected from multiple vehicles to train a machine learning model while ensuring vehicle user privacy, federal learning framework was introduced into the Internet of Vehicles. Federated learning is a distributed learning framework. Under the federated learning framework, the packet error rate and wireless bandwidth have a great influence on the global model training process because the vehicle exchanges model parameters with the central server through the wireless channel. With limited bandwidth, the central server needs to select a more appropriate subset of vehicles candidates to participate in federated learning. In this paper, image classification is taken as a typical application in the Internet of vehicles. The dataset contents of different vehicles are different, and the selection of different subsets of vehicles will affect the accuracy and convergence rate of the global model. Therefore, an algorithm of vehicle selection and wireless resource allocation based on dataset content is proposed. Vehicles selection and wireless resource allocation are designed as an optimization problem by joint considerations of vehicle computing resource, datasets, and wireless resources with the goal of maximizing loss function decay of the global model. Finally, simulation with the CIFAR-10 dataset verifies that the vehicle selection and resource allocation algorithm based on the dataset content is superior to the baseline methods in terms of model accuracy and convergence rate.
In this work, we address the issue of Wi-Fi-based human activity recognition (HAR) system in densely deployed Wi-Fi environments. With the benefit of sufficient information provided by Wi-Fi channel state information ...
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In this work, we address the issue of Wi-Fi-based human activity recognition (HAR) system in densely deployed Wi-Fi environments. With the benefit of sufficient information provided by Wi-Fi channel state information (CSI), HAR based on Wi-Fi has become an active research area in recent years. Traditional Wi-Fi CSI-based HAR applications usually focus on utilizing one Wi-Fi transmitter and one or several Wi-Fi receivers to extract the activity-related features, ignoring the communication among multiple Wi-Fi devices in the real world. In this paper, we present a novel Wi-Fi link selection model on the basis of continuous state decision-making process in which CSI is modeled as a part of the state. The model, referred to as WiAgent, takes an action of selecting one Wi-Fi link according to current state, and then updates the state for the choice of the next action. From extensive experiment results, our method performs better than other solutions in a given environment where multiple Wi-Fi transmitters exist.
A one-dimensional holographic metasurface antenna that can achieve full-angle symmetrical dual-beam rapid scanning while keeping its position unchanged is proposed. The principle of holographic antenna and beam deflec...
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A reflection metasurface that can generate non-diffraction Bessel beams and achieve anomalous reflection with high efficiency at 5.8 GHz is proposed in this paper. The unit it utilizes has excellent amplitude and phas...
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For dealing with the problem of receiving multimode orbital-angular momentum (OAM) waves resulting from different beam divergence angles of OAM waves with different topological charges, it is essential to control the ...
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The orbital angular momentum (OAM) has raised great attention for its potential to enhance the capacity of wireless communication system. The performance of OAM communication is dependent on the accuracy of phase info...
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An omni-directional broad-band microstrip array antenna is proposed in this work. The serial feed and antenna array technology are combined to design an antenna array which can satisfy the demands of both omni-directi...
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An omni-directional monopole antenna with low gain variations is presented for Wireless Fidelity (WiFi) communications in this paper. Compared with the conventional microstrip antenna, the novel patch antenna with sim...
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A novel magneto-electric (ME) dipole antenna is presented in this paper, which owns the characteristics of low cross polarization level and high front-to-back ratio (FBR) for the Sth-generation (5G) indoor communicati...
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In this paper, a novel omni-directional antenna with wideband and low cross-polarization for GSM1800/3G/LTE/5G indoor communication systems is proposed. By using the printed log-periodical antenna elements, which are ...
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