Results 161 to 170 of about 24,859 (195)

A 3.584 Tbps coherent receiver chip on InP-LiNbO₃ wafer-level integration platform. [PDF]

Light Sci Appl
Xie X, Wei C, He X, Chen Y, Wang C, Sun J, Jiang L, Ye J, Zou X, Pan W, Yan L.   +10 more
europepmc   +1 more source

Heterogeneous-IRS-Assisted Millimeter-Wave Systems: Element Position and Phase Shift Optimization. [PDF]

Sensors (Basel)
Zhao W, Wu Q, Wei H, Su D, Zhu Y.
europepmc   +1 more source

High isolated 8-port MIMO antenna and 16-port massive antenna for mm wave (5G NR-n260) applications in time division duplex mode. [PDF]

Sci Rep
Mishra B, Yadav V, Pandey A, Mh C, SethuMadhavi R, Satheesha TY, Yadav P.   +6 more
europepmc   +1 more source

A Sliding Window-Based CNN-BiGRU Approach for Human Skeletal Pose Estimation Using mmWave Radar. [PDF]

Sensors (Basel)
Luo Y, He Y, Li Y, Liu H, Wang J, Gao F.
europepmc   +1 more source

Adaptive Filtering for Channel Estimation in RIS-Assisted mmWave Systems. [PDF]

Sensors (Basel)
Shao S, Lv T, Huang P.
europepmc   +1 more source

Metasurface-Loaded Biodegradable Mobile Phone Back Cover for Enhanced Radiation Performance. [PDF]

Materials (Basel)
Acharjee J, Ali J, Uzair M, Phakaew T, Akkaraekthalin P, Maiket Y, Yeetsorn R, Chalermwisutkul S.   +7 more
europepmc   +1 more source

Sustainable THz SWIPT via RIS-Enabled Sensing and Adaptive Power Focusing: Toward Green 6G IoT. [PDF]

Sensors (Basel)
Enahoro S, Ekpo SC, Uko M, Elias F, Unnikrishnan R, Alabi S, Olasunkanmi NK.   +6 more
europepmc   +1 more source

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mmWaves RSSI indoor network localization

2014 IEEE International Conference on Communications Workshops (ICC), 2014
Indoor positioning gained great interest in recent years. Several performance evaluations are available for consolidated systems, especially for ultra-wideband radios. Given the current success of mmWaves networks, in this paper, we investigate the performance of RSSI localization systems operating at mmWaves.
Vari M, CASSIOLI, DAJANA
openaire   +1 more source

mmWave Activity Dataset (New)

2023
Description: This mmWave Datasets are used for activity verification. It contains two datasets. The first dataset (FA Dataset) contains 14 common daily activities. This second one (EA Dataset) contains 5 kinds of eating activities. The data are captured by the mmWave radar TI-AWR1642.
Yucheng Xie, Ruizhe Jiang, Xiaonan Guo, Wang, Yan, Cheng, Jerry, Yingying Chen   +5 more
openaire   +1 more source

Surfing the MMWAVE

New Electronics, 2020
How are mmWave frequencies helping to solve today's network challenges?
openaire   +1 more source