Beam Selection Algorithm for Beamspace HAP-MIMO Systems Based on Statistical CSI

In this letter, a beam selection algorithm is put forward for beamspace high altitude platform massive multiple-input multiple-output (HAP-MIMO) systems. Specifically, the algorithm is subject to the maximization of match degree between the beams and users, which is constructed by exploiting statist...

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Bibliographic Details
Published in2021 International Conference on Networking and Network Applications (NaNA) pp. 47 - 51
Main Authors Zou, Shiyi, Jiang, Lingge, Ji, Pingping, He, Chen, He, Di, Zhang, Guorong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2021
Subjects
beam selection
beamspace
Channel state information
Energy efficiency
high altitude platform
Massive MIMO
Measurement
MIMO
Partitioning algorithms
Simulation
statistical CSI
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DOI10.1109/NaNA53684.2021.00016

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Summary:In this letter, a beam selection algorithm is put forward for beamspace high altitude platform massive multiple-input multiple-output (HAP-MIMO) systems. Specifically, the algorithm is subject to the maximization of match degree between the beams and users, which is constructed by exploiting statistical channel state information (CSI). The beam selection is partitioned into two parts. In the first part, we obtain a reduced-dimensional dominant beam set consisting of each user's most preferred beams according to the match degree. In the second part, we formulate the selection of optimal beams from the dominant beam set as an assignment problem that can be solved by Kuhn-Munkres algorithm. Numerical results demonstrate the performance enhancement of the proposed algorithm with respect to energy efficiency.
DOI:10.1109/NaNA53684.2021.00016