Fast 3D Beam Training With True-Time-Delay Arrays in Wideband . . . True-time-delay (TTD) arrays can implement frequency-dependent rainbow beams and enable fast beam alignment in wideband millimeter-wave (mmWave) systems In this paper, we consider 3D rainbow beam training with planar TTD arrays We first design
Radar Rainbow Beams for Wideband mmWave Communication: Beam Training . . . We propose a novel integrated sensing and communication (ISAC) scheme that leverages sensing to assist communication in light-of-sight (LoS) environments, ensuring fast initial access, seamless user tracking, and uninterrupted communication for
Deep Reinforcement Learning for mmWave RF Beam Codebook Design To overcome these limitations, this paper develops a deep reinforcement learning framework that learns how to optimize the codebook beam patterns relying only on the receive power measurements
Reinforcement Learning of Beam Codebooks in Millimeter Wave and . . . not optimiz impairments This leads to large codebook sizes with high beam training overhead which increases the initial access tracking latency and makes it hard for these systems to support highly mobile applications To overcome these limitations, this paper develops a deep reinforcement learning framework that
Coded Beam Training | IEEE Journals Magazine | IEEE Xplore In extremely large-scale multiple-input-multiple-output (XL-MIMO) systems for future sixth-generation (6G) communications, codebook-based beam training stands out as a promising technology to acquire channel state information (CSI) Despite their