Hierarchical beam training
Web27 de set. de 2024 · To tackle this problem, we propose a deep learning-based beam training scheme where the near-field channel model and the near-field codebook are considered. To be specific, we first utilize the received signals corresponding to the far-field wide beams to estimate the optimal near-field beam. Weband training data. Different from the existing hierarchical codebook training algorithms, we first use the beam training results from the previous layers to estimate the channel AOA or AOD at each layer and then we adaptively design a codeword in the current layer to align with the estimated AOA or AOD. Comparing with the existing beam training
Hierarchical beam training
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Web7 de out. de 2024 · Then we point out three critical criteria for XL-MIMO hierarchical beam training. Secondly, a novel spatial-chirp beam-aided codebook and corresponding hierarchical update policy are proposed. Thirdly, given the imperfect coverage and overlapping of spatial-chirp beams, we further design an enhanced hierarchical … Weba hierarchical beam training method, where wide beams are generated by activating a sub-array of the full-array. The beam training accuracy was further improved in [20] by …
Web14 de abr. de 2024 · Beam size B controls the number of candidate nodes to be retrieved. Larger B leads to better performance and heavier computation in the inference stage. As a result, Fig. 4 (a) shows, for MovieLens-20M, 5 or 10 is the better choice. Thus we set the beam size as 10 for MovieLens-20M. 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 …
WebTo reduce the training overhead, a parallel beam alignment algorithm is proposed for the MU mmWave system with a hybrid structure. The proposed algorithm jointly exploits parallel beam alignment among different user-subsets and hierarchical beam training for each user-subset. Consequently, the training overhead is significantly reduced to 2log Web13 de dez. de 2024 · Accurate channel state information (CSI) acquisition is indispensable for mmWave massive MIMO systems to perform sophisticated signal processing. The existing channel estimation methods such as beam training and compressed sensing either have low accuracy or require considerably high training overhead. To achieve a fast yet …
WebBeam training based on hierarchical codebook for millimeter wave (mmWave) massive MIMO is investigated. Unlike the existing work using the same hierarchical codebook to …
WebBeam training based on hierarchical codebook for millimeter wave (mmWave) massive MIMO is investigated. Unlike the existing work using the same hierarchical codebook to estimate different multi-path components (MPCs), dynamic hierarchical codebooks which are updated according to the estimated MPCs are adopted. great myrtle crapemyrtle plantWeb21 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; great myrtle beach restaurantsWebObjective: To share the implementation experience of hierarchical first aid training scheme for elementary and middle school students in Baoan District of Shenzhen City and … flood zone by address pinellas countyWeb29 de set. de 2024 · In this letter, we study efficient near-field beam training design for the extremely large-scale array (XL-array) communication systems. Compared with the conventional far-field beam training method that searches for the best beam direction only, the near-field beam training is more challenging since it requires a beam search over … great myrtle treeWebSimultaneous Multiuser Beam Training Using Adaptive Hierarchical Codebook for mmWave Massive MIMO Abstract: In this paper, a simultaneous multiuser hierarchical beam … great myrtle bushWeb28 de set. de 2024 · For mmWave massive MIMO systems, the beam training method based on predefined codebooks has been widely adopted. However, this will incur extremely high training overhead [2]. To tackle this issue, a typical scheme based on hierarchical codebooks that contain wide beams and narrow beams was proposed in … great mysteries of the pastWeb12 de jan. de 2024 · Hierarchical multi-beam training with the pr esence of the. sub-connected hybrid beamforming architecture. Xinyang Li 1 Songjie Y ang 1 Wanting Lyu 1 … flood zone car wash