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Improving Performance of Integrated Ground-HAPS FSO Communication Links With MIMO Application
Published 2024-01-01Subjects: Get full text
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182
Fundamentals and applications of millimeter-wave and terahertz programmable metasurfaces
Published 2025-01-01Subjects: “…Next-generation wireless communications…”
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183
A compact and highly isolated integrated 8-port MIMO antenna for sub-6 GHz and mm-wave 5G-NR applications
Published 2025-03-01Subjects: Get full text
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184
Modeling of the 2.4 GHz wireless channel path loss in substation
Published 2016-07-01Subjects: “…short distance wireless communication…”
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185
Dual-Polarization Self-Coherent Transceivers for Free Space Optical Communications in the Presence of Atmospheric Turbulence
Published 2025-01-01Subjects: Get full text
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186
Divisive hierarchical clustering for energy saving and latency reduction in UAV-assisted WSANs
Published 2025-01-01“…EURASIP Journal on Wireless Communications and Networking…”
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187
Estimating time and frequency under imperfect channel knowledge using ECM and SAGE algorithms in multi-relay cooperative networks
Published 2025-01-01“…EURASIP Journal on Wireless Communications and Networking…”
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188
Joint trajectory design and resource allocation for UAV-assisted mobile edge computing in power convergence network
Published 2025-01-01“…EURASIP Journal on Wireless Communications and Networking…”
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189
Low SAR compact wideband/dual-band semicircular slot antenna structures for sub-6 GHz 5G wireless applications
Published 2025-01-01“…EURASIP Journal on Wireless Communications and Networking…”
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190
Securing fog computing in healthcare with a zero-trust approach and blockchain
Published 2025-02-01“…EURASIP Journal on Wireless Communications and Networking…”
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191
Resource allocation for multi-cell full-duplex wireless powered communication networks
Published 2024-12-01“…EURASIP Journal on Wireless Communications and Networking…”
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192
Research on Quantization Error Influence of Millimeter-Wave Phased Array Antenna
Published 2021-01-01Get full text
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193
Redundancy Model and Boundary Effects Based Coverage-Enhancing Algorithm for 3D Underwater Sensor Networks
Published 2014-04-01Get full text
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194
An overview of wireless transmission technology utilizing artificial intelligence
Published 2018-08-01“…Intelligent communication is considered to be one of themainstream directions in the development of wireless communications after 5G.Its basic idea is to introduce artificial intelligence into all aspects of wireless communication systems,realizing the significant integration of wireless communication and artificial intelligence technology.At present,the research in this field is advancing to the physi cal layer.The combination of wireless transmission and deep learning is also in the preliminary exploration stage.Key technologies of wireless physi cal layer based on deep learning were introduced in detail from the aspects of channel estimation,signal detection,feedback and reconstruction of channel state information,channel decoding,end-to-end wireless communication systems,the latest research progress of international academic circles in recent years was presented.On this basis,the development trend in the future was preliminarily forecasted.…”
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195
Concurrent transmission mechanism to mitigate pan-exposed-node problems in wireless sensor networks
Published 2017-03-01Get full text
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196
SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks
Published 2015-10-01Get full text
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Optimal Joint Expected Delay Forwarding in Delay Tolerant Networks
Published 2013-11-01Get full text
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199
Overview of 5G multi-channel redundant transmission technology
Published 2024-05-01“…At present, the society is in an era of rapid development of science and technology, and the rapid development of wireless communication technology has not only promoted the digital transformation of industry, transportation, medical and other fields, but also continuously upgraded wireless communication networks, trying to move from wired to wireless. …”
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200
1D-Concatenate based channel estimation DNN model optimization method
Published 2023-04-01“…In order to improve the channel estimation accuracy of DNN model in wireless communication, a DNN model optimization method based on 1D-Concatenate was proposed.In this method, Concatenate performs one-dimensional data transformation, the DNN model was introduced by hopping connection, the gradient disappearance problem was suppressed, and 1D-Concatenate was used to restore the data features lost during network training to improve the accuracy of DNN channel estimation.In order to verify the effectiveness of the optimization method, a typical DNN-based wireless communication channel estimation model was selected for comparative simulation experiments.Experimental results show that the estimated gain of the existing DNN model can be increased by 77.10% by the proposed optimization method, and the channel gain can be increased by up to 3 dB under high signal-to-noise ratio.This optimization method can effectively improve the channel estimation accuracy of DNN model in wireless communication, especially the improvement effect is significant under high signal-to-noise ratio.…”
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