The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Sistem MIMO (Multiple Input Multiple Output) berbilang pengguna, di mana berbilang Stesen Mudah Alih (MS) dilengkapi dengan berbilang antena secara serentak berkomunikasi dengan Stesen Pangkalan (BS) yang dilengkapi dengan berbilang antena, pada frekuensi yang sama, menarik perhatian kerana potensinya. untuk prestasi penghantaran yang lebih baik dalam komunikasi tanpa wayar. Dalam pautan atas sistem MIMO (multi-user MIMO/SDM) berasaskan Space Division Multiplexing yang tidak memerlukan Maklumat Keadaan Saluran (CSI) penuh pada pemancar, memilih antena MS aktif, yang sepadan dengan penjadualan antena pemancar, adalah teknik yang berkesan. Algoritma Pemilihan Carian Penuh berdasarkan carian menyeluruh (FSA) telah dikaji sebagai algoritma pemilihan antena MS aktif yang optimum untuk sistem MIMO berbilang pengguna. Malangnya, FSA mengalami kerumitan pengiraan yang melampau memandangkan sejumlah besar MS. Untuk menyelesaikan masalah ini, kertas kerja ini memperkenalkan Algoritma Pemilihan berasaskan ortogonalisasi Gram-Schmidt (GSSA) untuk memautkan sistem MIMO/SDM berbilang pengguna. GSSA ialah algoritma pemilihan antena MS aktif suboptimum yang menawarkan kerumitan pengiraan yang lebih rendah daripada algoritma optimum. Kertas kerja ini menilai peningkatan prestasi penghantaran GSSA dalam sistem MIMO/SDM berbilang pengguna pautan atas di bawah keadaan penyebaran realistik seperti antena BS yang berkorelasi secara ruang dan menjelaskan keberkesanan GSSA.
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Salinan
Manabu MIKAMI, Teruya FUJII, "Throughput Performance Improvement Using Complexity-Reduced User Scheduling Algorithm in Uplink Multi-User MIMO/SDM Systems" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 6, pp. 1724-1733, June 2008, doi: 10.1093/ietcom/e91-b.6.1724.
Abstract: Multi-user MIMO (Multiple Input Multiple Output) systems, in which multiple Mobile Stations (MSs) equipped with multiple antennas simultaneously communicate with a Base Station (BS) equipped with multiple antennas, at the same frequency, are attracting attention because of their potential for improved transmission performance in wireless communications. In the uplink of Space Division Multiplexing based multi-user MIMO (multi-user MIMO/SDM) systems that do not require full Channel State Information (CSI) at the transmitters, selecting active MS antennas, which corresponds to scheduling transmit antennas, is an effective technique. The Full search Selection Algorithm based on exhaustive search (FSA) has been studied as an optimal active MS antenna selection algorithm for multi-user MIMO systems. Unfortunately, FSA suffers from extreme computational complexity given large numbers of MSs. To solve this problem, this paper introduces the Gram-Schmidt orthogonalization based Selection Algorithm (GSSA) to uplink multi-user MIMO/SDM systems. GSSA is a suboptimal active MS antenna selection algorithm that offers lower computational complexity than the optimal algorithm. This paper evaluates the transmission performance improvement of GSSA in uplink multi-user MIMO/SDM systems under realistic propagation conditions such as spatially correlated BS antennas and clarifies the effectiveness of GSSA.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.6.1724/_p
Salinan
@ARTICLE{e91-b_6_1724,
author={Manabu MIKAMI, Teruya FUJII, },
journal={IEICE TRANSACTIONS on Communications},
title={Throughput Performance Improvement Using Complexity-Reduced User Scheduling Algorithm in Uplink Multi-User MIMO/SDM Systems},
year={2008},
volume={E91-B},
number={6},
pages={1724-1733},
abstract={Multi-user MIMO (Multiple Input Multiple Output) systems, in which multiple Mobile Stations (MSs) equipped with multiple antennas simultaneously communicate with a Base Station (BS) equipped with multiple antennas, at the same frequency, are attracting attention because of their potential for improved transmission performance in wireless communications. In the uplink of Space Division Multiplexing based multi-user MIMO (multi-user MIMO/SDM) systems that do not require full Channel State Information (CSI) at the transmitters, selecting active MS antennas, which corresponds to scheduling transmit antennas, is an effective technique. The Full search Selection Algorithm based on exhaustive search (FSA) has been studied as an optimal active MS antenna selection algorithm for multi-user MIMO systems. Unfortunately, FSA suffers from extreme computational complexity given large numbers of MSs. To solve this problem, this paper introduces the Gram-Schmidt orthogonalization based Selection Algorithm (GSSA) to uplink multi-user MIMO/SDM systems. GSSA is a suboptimal active MS antenna selection algorithm that offers lower computational complexity than the optimal algorithm. This paper evaluates the transmission performance improvement of GSSA in uplink multi-user MIMO/SDM systems under realistic propagation conditions such as spatially correlated BS antennas and clarifies the effectiveness of GSSA.},
keywords={},
doi={10.1093/ietcom/e91-b.6.1724},
ISSN={1745-1345},
month={June},}
Salinan
TY - JOUR
TI - Throughput Performance Improvement Using Complexity-Reduced User Scheduling Algorithm in Uplink Multi-User MIMO/SDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1724
EP - 1733
AU - Manabu MIKAMI
AU - Teruya FUJII
PY - 2008
DO - 10.1093/ietcom/e91-b.6.1724
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2008
AB - Multi-user MIMO (Multiple Input Multiple Output) systems, in which multiple Mobile Stations (MSs) equipped with multiple antennas simultaneously communicate with a Base Station (BS) equipped with multiple antennas, at the same frequency, are attracting attention because of their potential for improved transmission performance in wireless communications. In the uplink of Space Division Multiplexing based multi-user MIMO (multi-user MIMO/SDM) systems that do not require full Channel State Information (CSI) at the transmitters, selecting active MS antennas, which corresponds to scheduling transmit antennas, is an effective technique. The Full search Selection Algorithm based on exhaustive search (FSA) has been studied as an optimal active MS antenna selection algorithm for multi-user MIMO systems. Unfortunately, FSA suffers from extreme computational complexity given large numbers of MSs. To solve this problem, this paper introduces the Gram-Schmidt orthogonalization based Selection Algorithm (GSSA) to uplink multi-user MIMO/SDM systems. GSSA is a suboptimal active MS antenna selection algorithm that offers lower computational complexity than the optimal algorithm. This paper evaluates the transmission performance improvement of GSSA in uplink multi-user MIMO/SDM systems under realistic propagation conditions such as spatially correlated BS antennas and clarifies the effectiveness of GSSA.
ER -