Web12 de mar. de 2024 · In this paper, multiuser beam training based on hierarchical codebook for millimeter wave massive multi-input multi-output is investigated, where the base station (BS) simultaneously performs beam training with multiple user equipments (UEs). For the UEs, an alternative minimization method with a closed-form expression … Web21 de set. de 2024 · Two low-overhead hierarchical beam training schemes for near-field XL-MIMO system are proposed and an enhanced hierarchical training codebook via manifold optimization and alternative minimization is designed. Expand. Highly Influenced. PDF. View 8 excerpts, cites methods and background;
Reinforcement Learning for Optimized Beam Training in Multi …
Web24 de fev. de 2024 · This inevitably incurs prohibitively high beam training overhead since it requires a two-dimensional (2D) beam search over both the angular and distance … Web21 de set. de 2024 · Existing beam training schemes rely on the far-field codebook, which is designed based on the far-field channel model. However, due to the large aperture of XL-RIS, the user is more likely to be in the near-field region of XL-RIS. The far-field codebook mismatches the near-field channel model. freight carrier
Fast beam alignment algorithm for multi‐user mmWave …
WebThis paper presents the system model of THz UM-MIMO and introduces the schemes of beam training and beamspace MIMO for THz communications, and presents the corresponding fabrication techniques and illuminate the emerging applications benefiting from THz beamforming. Terahertz (THz) communications with a frequency band 0.1− 10 … Web1 de abr. de 2024 · The most prominent feature of hierarchical search algorithms is the feedback operations on selected beams that effectively reduce unnecessary beam sweeps and narrow the beam search ranges [12, 13]. Hierarchical feedback search algorithms can greatly reduce the training cost for individual users but are not suitable for multi-user … WebThe code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li, Jie Wang*, Yufei Kuang, Mingxuan Yuan, Jia Zeng, ... beam_search.py . cutsel_agent_parallel.py . environments.py . global ... execute the following code to begin training and periodically test the training model ... freight carrier ratings