Therefore, we develop a novel attitude information aided precoding algorithm, which approaches the performance of conventional singular value decomposition (SVD) ...
We first analyze the characteristics of mmWave uplink channel when the attitude of user equipment (UE) rotates, and it shows that only the precoder needs to be ...
May 25, 2020 · Therefore, we develop a novel attitude information aided precoding algorithm, which approaches the performance of conventional singular value ...
In mobile millimeter wave (mm-Wave) systems, most deep learning-based beamforming models only input channel state information (CSI). However, as user speed ...
Digital beamforming (DBF) is considered as an efficient method to overcome the high propagation loss of millimeter wave (mmWave) communication, ...
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Oct 12, 2024 · This paper proposes a plug and play, free of pre-training solution that leverages gradient guided meta learning (GGML) framework to maximize the spectral ...
Missing: Attitude | Show results with:Attitude
As an important sensing resource, attitude information is highly related to the angle of arrivals (AoAs) information when user equipments (UEs) rotate. It ...
This paper proposes using motion sensor data to track small-scale rotational user motion and to correct mm-wave antenna misalignment at the mobile station ...
May 11, 2013 · Beamforming with multiple data streams, known as precoding, can be used to further improve mmWave spectral efficiency.
Missing: Attitude | Show results with:Attitude
In this paper we propose using motion sensor data to track small-scale rotational user motion and to thus correct mm-wave antenna misalignment at the mobile ...