Adaptive beam alignment method for millimeter-wave massive MIMO communication systems

Zhang, Wenjie; Li, Hui; Liu, Penglu; Wei, Shanlin; Cheng, Wei; Wang, Weiguang

doi:10.1016/j.phycom.2020.101101

Cited by 6 publications

(1 citation statement)

References 30 publications

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“…However, the beam alignment methods based on codebook design and traditional beam training (e.g., hierarchical search, iterative search) do not provide high performance in terms of data rate and spectral efficiency. Therefore, in [102], authors study the impact of beam training on achieving maximum success rate, they propose an adaptive beam alignment scheme for mmWave MIMO systems. Two adaptive algorithms have been derived, Adaptive Hierarchical Traversal Beam Search (AHTBS) algorithm and Adaptive Hierarchical Iterative Beam Search (AHIBS) algorithm.…”

Section: ) Beam Alignment Methods Without Channel Estimationmentioning

confidence: 99%

Initial Access & Beam Alignment for mmWave and Terahertz Communications

2022

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The initial access in Millimeter wave (mmWave) 5G communications is very challenging and time consuming. In general, mmWave and terahertz communications require the use of directional antennas to seek narrow beams. However, due to this directionality, many issues can impact the beam alignment between transmitter and receiver. In this paper, we present a comprehensive survey of beam alignment and initial access in mmWave and terahertz 5G/6G systems. First, we present a detailed overview of initial access methods, techniques, and beam management procedures. Then, we classify recent works related to beam alignment based on their objective functions (i.e., latency, power allocation, QoS, energy consumption, cost). We also highlight the beam alignment in terahertz 6G, where we find that deep learning and reconfigurable intelligent surface are the two protagonists that help to achieve fast beam alignment.INDEX TERMS 5G/6G, mmWave, terahertz, beamforming, initial access, beam alignment, beam steering, reconfigurable intelligent surface.

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Section: ) Beam Alignment Methods Without Channel Estimationmentioning

confidence: 99%