Energy and spectral efficiency analysis of millimeter wave MIMO system based on known-position beamforming

Song, Bingbing; Wei, Zaixue; Li, Gaosi; Zhang, Xin; Liu, Yitong

doi:10.1109/iccchina.2017.8330338

Cited by 2 publications

(2 citation statements)

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“…Finally, we'll observe the influence of location error obtained previously, and discuss the effect of mobility and CNN accuracy for some traces of nodes with certain mobility pattern. [5] has proved the improvement of spectrum efficiency in beamforming systems with the help of cameras to get terminals' location information, which will not be discussed in this paper. And we will evaluate the time delay, in other A.…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…In [4], an image tracking algorithm of binocular vision in LOS scenario is put forward to track users for beamforming. A position-based BF system employing 3D image reconstruction with the assistant of co-located cameras has been proposed as well and it has been proved that acquiring location information by cameras can achieve higher spectrum efficiency in beamforming systems [5] . [4] and [5] were our previous work, which carried out simple geometric models but did not employ CV to detect object location.…”

Section: Introductionmentioning

confidence: 99%

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A Computer Vision Based Beamforming Scheme for Millimeter Wave Communication in LOS Scenarios

Xiang

Wang

et al. 2019

2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT)

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A novel location-aware beamforming scheme for millimeter wave communication is proposed for line of sight (LOS) and low mobility scenarios, in which computer vision is introduced to derive the required position or spatial angular information from the image or video captured by camera(s) co-located with mmWave antenna array at base stations. A wireless coverage model is built to investigate the coverage performance and influence of positioning accuracy achieved by convolutional neural network (CNN) for image processing. In addition, videos could be intentionally blurred, or even low-resolution videos could be directly applied, to protect users' privacy with acceptable positioning precision, lower computation complexity and lower camera cost. It is proved by simulations that the beamforming scheme is practicable and the mainstream CNN we employed is sufficient in both aspects of beam directivity accuracy and processing speed in frame per second.

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Section: Evaluation Methodsmentioning

confidence: 99%