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AG Channel Measurements and Characteristics Analysis in Hilly Scenarios for 6G UAV Communications

China Communications 2022年第11期19卷 32-46页

作者： Chongyang Yu Yu Liu Hengtai Chang Jingfan Zhang Mengjiao Zhang peter poechmueller Chengxiang Wang School of Microelectronics Shandong UniversityNo.1500Shunhua RoadGaoxin DistrictJinan 250101China National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast UniversityNo.2SipailouXuanwu DistrictNanjing 210096China Purple Mountain Laboratories No.9Mozhou East RoadJiangning DistrictNanjing 211111China

As an important part of sixth generation(6G)integrated space-air-ground-sea networks,unmanned aerial vehicle(UAV)communications have aroused great attention and one of its typical application scenarios is the hilly *** related UAV air-ground(AG)channel characteristics analysis is crucial for system design and network evaluation of future UAV communications in hilly *** this paper,a recently conducted channel measurements campaign in a hilly scenario is presented,which is conducted at the center frequencies of 2.585 GHz and 3.5 GHz for different flight *** on the measurement data,some key channel characteristics are analyzed,including path loss(PL),shadow fading(SF),Rician K-factor,root mean square(RMS)delay spread(DS),and temporal auto-correlation function(ACF).Finally,the comparison of typical channel characteristics under circular and straight trajectories is *** related results can provide a theoretical reference for constructing future UAV communication system in hilly scenarios.

关键词： UAV communications channel measurements channel characteristics hilly scenarios 6G

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Triboelectric gait sensing analysis system for self-powered IoT-based human motion monitoring

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InfoMat 2024年第5期6卷 69-81页

作者： Leilei Zhao Xiao Guo Yusen Pan Shouchuang Jia Liqiang Liu Walid ADaoud peter poechmueller Xiya Yang Institute of New Energy Technology College of Information Science and TechnologyJinan UniversityGuangzhouthe People's Republic of China School of Microelectronics Shandong UniversityJinanthe People's Republic of China College of Electronics and Information Engineering Tongji UniversityShanghaithe People's Republic of China Department of Mechanical Engineering City University of Hong KongHong Kongthe People's Republic of China

Quantitative analysis of gait parameters,such as stride frequency and step speed,is essential for optimizing physical exercise for the human ***,the current electronic sensors used in human motion monitoring remain constrained by factors such as battery life and *** study developed a self-powered gait analysis system(SGAS)based on a triboelectric nanogenerator(TENG)fabricated electrospun composite nanofibers for motion monitoring and gait analysis for regulating exercise *** SGAS consists of a sensing module,a charging module,a data acquisition and processing module,and an Internet of Things(IoT)*** the sensing module,two specialized sensing units,TENG-S1 and TENG-S2,are positioned at the forefoot and heel to generate synchronized signals in tandem with the user's *** signals are instrumental for real-time step count and step speed *** output of the two TENG units is significantly improved by systematically investigating and optimizing the electrospun composite nanofibers'composition,strength,and wear ***,a charge amplifier circuit is implemented to process the raw voltage signal,consequently bolstering the reliability of the sensing *** refined data is then ready for further reading and calculation by the micro-controller unit(MCU)during the signal transmission ***,the well-conditioned signals are wirelessly transmitted to the IoT platform for data analysis,storage,and visualization,enhancing human motion monitoring.

关键词： electrospun nanofiber gait analysis human motion monitoring self-powered system wearable triboelectric sensor

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