5G Mobile - DOAJ

Design and Analysis of an Eight-Port Dual-Polarized High-Efficiency Shared-Radiator MIMO Antenna for 5G Mobile Devices

"Nowadays, the MIMO can produce its fifth generation ultra-high capacity, but it will be a challenge for the smartphone antenna to achieve good isolation, high quality, and other useful in limited space. " The MIMO system includes four radiators, and the edge-to-edge distance between the radiators on the short side is 31. 9 mm, while the MIMO antenna system is 150 mm 3. In addition, the impact of the human body model on the antenna is also discussed. Overall, the latest MIMO antenna has a shared radiator with high isolation and high TE, making it more suitable for the new generation of 5G MIMO antenna systems. "The planar structure block is extremely simple to build and easy to fabricate on the substrate, which is particularly important. ".

Source link: https://doi.org/10.3390/electronics11101628

A Novel Cross-Band Decoupled Shared-Aperture Base Station Antenna Array Unit for 5G Mobile Communications

"The antenna array unit is fabricated and experimentally demonstrated to have a 32. 7% in the LB and 45. 5 in the UB with a voltage standing wave ratio of less than 1. 5. " In both the LB and UB as required for dual-band base station antennas, high port isolation and stable radiation patterns were attained in both the LB and UB.

Source link: https://doi.org/10.1109/OJAP.2022.3173159

Indoor Positioning with CNN and Path-Loss Model Based on Multivariable Fingerprints in 5G Mobile Communication System

"Many development scenarios," the author states, "such as indoor positioning in fifth-generation cell phone communication systems in recent years. " We use MVF to train the convolutional neural network location classification model in the fingerprint matching. Experimental results show that all three positioning algorithms based on machine learning with MVF achieve accuracy enhancement in comparison to those of Reference Signal Receiving Power -only fingerprint. In two experimental environments, CNN achieves the highest results among three ranking algorithms. The average positioning error of a hybrid positioning model is 1. 47 meters, which results in a 9. 2 percent accuracy increase relative to CNN alone.

Source link: https://doi.org/10.3390/s22093179

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