Deep Reinforcement Learning-Based Energy-Efficient Resource Allocation and Scheduling in 6G-Enabled UAV-Assisted IoT Wireless Networks. [PDF]
Sensors (Basel)Nauman A, Kim SW.
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Admission control for multihop wireless backhaul networks with qos support
, 2006 — Despite improvements in wireless access technologies such as 3G or 802.11x, ubiquitous data access has remained a challenge, mainly due to the lack of inexpensive, pervasive backhaul connections from access points to the Internet. With the recent WiMAX
Seungjoon Lee, Girija Narlikar
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Research on Improving Communication Capacity in mmWave Backhaul UAV Networks. [PDF]
Sensors (Basel)Sugimoto T, Tran GK.
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Design and Experimental Evaluation of a Hierarchical LoRaMESH-Based Sensor Network with Wi-Fi HaLow Backhaul for Smart Agriculture. [PDF]
Sensors (Basel)Van CC, Tuan AT, Cong DL.
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Joint Beamforming for Integrated Satellite-Terrestrial ISAC Systems. [PDF]
Sensors (Basel)Wang T, Wang Q.
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Editorial to the Special Issue "Recent Advances in Optical Wireless Communications". [PDF]
Sensors (Basel)Genoves Guzman B, Morales Céspedes M.
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A Compact High-Efficiency Tri-Band CPW-Fed Millimeter-Wave Dielectric Patch Antenna for Wireless Systems. [PDF]
Sensors (Basel)Albarakati AA, Khamas SK.
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Plasmonic modulator enabling kilometer-range high-throughput sub-THz links for radio access networks. [PDF]
Nat CommunVukovic B +12 more
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Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing. [PDF]
Sci RepMomani AM +6 more
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An Intelligent Energy-Aware Framework for 6G-Enabled Non-Terrestrial IoT via Reinforcement Learning. [PDF]
Sensors (Basel)Nauman A, Kim SW.
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