An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems
Recently, as the demand for data rate of users has increased, wireless communication systems have aimed to offer high throughput. For this reason, various techniques which guarantee high performance have been invented, such as massive multiple-input multiple-output (MIMO). However, the implementatio...
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MDPI AG
2020-06-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/10/13/4547 |
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author | Woon-Sang Lee Jae-Hyun Ro Young-Hwan You Duckdong Hwang Hyoung-Kyu Song |
author_facet | Woon-Sang Lee Jae-Hyun Ro Young-Hwan You Duckdong Hwang Hyoung-Kyu Song |
author_sort | Woon-Sang Lee |
collection | DOAJ |
description | Recently, as the demand for data rate of users has increased, wireless communication systems have aimed to offer high throughput. For this reason, various techniques which guarantee high performance have been invented, such as massive multiple-input multiple-output (MIMO). However, the implementation of huge base station (BS) antenna array and decrease of reliability as the number of users increases are chief obstacles. In order to mitigate these problems, this paper proposes an adaptive precoder which provides high throughput and bit error rate (BER) performances to achieve the desired data rate in multi user (MU) MIMO downlink systems which have a practical BS antenna array (up to 16). The proposed scheme is optimized with a modified minimum mean square error (MMSE) criterion in order to improve BER gain and reduce data streams in order to obtain diversity gain at low signal to noise ratio (SNR). It is shown that the BER and throughput performances of the proposed scheme are improved. |
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format | Article |
id | doaj.art-ee336fadf18a441dbc4a642e3fe0d9fb |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T18:47:56Z |
publishDate | 2020-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-ee336fadf18a441dbc4a642e3fe0d9fb2023-11-20T05:24:54ZengMDPI AGApplied Sciences2076-34172020-06-011013454710.3390/app10134547An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink SystemsWoon-Sang Lee0Jae-Hyun Ro1Young-Hwan You2Duckdong Hwang3Hyoung-Kyu Song4Department of Information and Communication Engineering, Sejong University, Seoul 05006, KoreaDepartment of Information and Communication Engineering, Sejong University, Seoul 05006, KoreaDepartment of Computer Engineering, Sejong University, Seoul 05006, KoreaDepartment of Information and Communication Engineering, Sejong University, Seoul 05006, KoreaDepartment of Information and Communication Engineering, Sejong University, Seoul 05006, KoreaRecently, as the demand for data rate of users has increased, wireless communication systems have aimed to offer high throughput. For this reason, various techniques which guarantee high performance have been invented, such as massive multiple-input multiple-output (MIMO). However, the implementation of huge base station (BS) antenna array and decrease of reliability as the number of users increases are chief obstacles. In order to mitigate these problems, this paper proposes an adaptive precoder which provides high throughput and bit error rate (BER) performances to achieve the desired data rate in multi user (MU) MIMO downlink systems which have a practical BS antenna array (up to 16). The proposed scheme is optimized with a modified minimum mean square error (MMSE) criterion in order to improve BER gain and reduce data streams in order to obtain diversity gain at low signal to noise ratio (SNR). It is shown that the BER and throughput performances of the proposed scheme are improved.https://www.mdpi.com/2076-3417/10/13/4547minimum mean square error (MMSE)multi user multiple-input multiple-output (MU-MIMO)block diagonalization (BD) |
spellingShingle | Woon-Sang Lee Jae-Hyun Ro Young-Hwan You Duckdong Hwang Hyoung-Kyu Song An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems Applied Sciences minimum mean square error (MMSE) multi user multiple-input multiple-output (MU-MIMO) block diagonalization (BD) |
title | An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems |
title_full | An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems |
title_fullStr | An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems |
title_full_unstemmed | An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems |
title_short | An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems |
title_sort | enhanced precoder for multi user multiple input multiple output downlink systems |
topic | minimum mean square error (MMSE) multi user multiple-input multiple-output (MU-MIMO) block diagonalization (BD) |
url | https://www.mdpi.com/2076-3417/10/13/4547 |
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