Abstract
In recent years, people have put forward higher and higher requirements for high-speed communications within a local area. Millimeter-wave WLAN has attracted much attention from academia and industry by virtue of its ultra-large bandwidth and short-range coverage. Beam training is a key technology of millimeter wave WLAN. The quality of beam training is related to communication performance and even communication. However, as the number of nodes continues to increase, the beam training efficiency of the traditional millimeter wave WLAN is very low, which affects system performance. This paper proposes a beamforming training method based on dynamic time slot adjustment for the next generation millimeter wave WLAN. The beam training slot in the subsequent beacon interval (BI) can be adjusted according to the completion of the beam training in the previous BI, thereby improving the efficiency of beam training. The simulation results prove that the method proposed in this paper can effectively improve the beam training efficiency and has a small impact on the performance of the system.
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Acknowledgement
This work was supported in part by the National Natural Science Foundations of CHINA (Grant No. 61871322, No. 61771392, No. 61771390, and No. 61501373), and Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 20185553035, and No. 201955053002).
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Feng, Z., Fang, Y., Yang, M., Yan, Z., Li, B. (2021). Dynamic Time Slot Adjustment Based Beamform Training for the Next Generation Millimeter Wave WLAN. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_27
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DOI: https://doi.org/10.1007/978-3-030-69514-9_27
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