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On the Complexity Reduction of Beam Selection Algorithms for Beamspace MIMO Systems
Beamspace multiple-input multiple-output (B-MIMO) provides a promising solution for reducing the number of required expensive radio frequency (RF) chains without obvious performance loss. However, the high computational complexities of beam selection algorithms prohibits their practical applications...
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Published in: | IEEE wireless communications letters 2021-07, Vol.10 (7), p.1439-1443 |
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creator | Zhang, Qianyun Li, Xinwei Wu, Bi-Yi Cheng, Lei Gao, Yue |
description | Beamspace multiple-input multiple-output (B-MIMO) provides a promising solution for reducing the number of required expensive radio frequency (RF) chains without obvious performance loss. However, the high computational complexities of beam selection algorithms prohibits their practical applications in 5G millimeter wave (mmWave) massive MIMO communication systems. Reviewing existing beam selection procedures and using the matrix perturbation theory, the complexity reduction on beam selection for beamspace MIMO is considered in this letter. Two beam selection algorithms, one for B-MIMO systems with classic zero-forcing (ZF) precoder and the other for the systems with QR precoder are proposed. Theoretical analyses and numerical simulations all show that the proposed beam selection algorithms possess a much lower complexity than conventional ones. |
doi_str_mv | 10.1109/LWC.2021.3069650 |
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Theoretical analyses and numerical simulations all show that the proposed beam selection algorithms possess a much lower complexity than conventional ones.</description><subject>Algorithms</subject><subject>Beam selection</subject><subject>beamforming</subject><subject>beamspace</subject><subject>Communications systems</subject><subject>Complexity</subject><subject>Heuristic algorithms</subject><subject>high dimensional multiuser-MIMO</subject><subject>Massive MIMO</subject><subject>Millimeter waves</subject><subject>MIMO</subject><subject>MIMO communication</subject><subject>Numerical simulation</subject><subject>Perturbation methods</subject><subject>Perturbation theory</subject><subject>precoding</subject><subject>Radio frequency</subject><subject>Reduction</subject><subject>Sparse matrices</subject><issn>2162-2337</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo9kN1LwzAQwIMoOHTvgi8Bnzvz1TR5nMWPwcbAKT6GrL26jnapSQbuv7ezY_dyx93v7uCH0B0lE0qJfpx_5RNGGJ1wIrVMyQUaMSpZwrhIL881z67ROIQt6UMSyqgaodVyh-MGcO7aroHfOh7wO5T7ItZuh12Fn8C2eAUNDJ1p8-18HTdtwJXz_9PQ2QLwYrZY4tUhRGjDLbqqbBNgfMo36PPl-SN_S-bL11k-nScF0zQmnK5VWmqViYxBAYwoLYQligqQgoAu1qVaK64s9ISwIFXGeWFT4KXmleD8Bj0MdzvvfvYQotm6vd_1Lw1Lhc5SyYXsKTJQhXcheKhM5-vW-oOhxBztmd6eOdozJ3v9yv2wUgPAGddcE0Yo_wNtAWk4</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Zhang, Qianyun</creator><creator>Li, Xinwei</creator><creator>Wu, Bi-Yi</creator><creator>Cheng, Lei</creator><creator>Gao, Yue</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Algorithms Beam selection beamforming beamspace Communications systems Complexity Heuristic algorithms high dimensional multiuser-MIMO Massive MIMO Millimeter waves MIMO MIMO communication Numerical simulation Perturbation methods Perturbation theory precoding Radio frequency Reduction Sparse matrices |
title | On the Complexity Reduction of Beam Selection Algorithms for Beamspace MIMO Systems |
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