Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications Systems
Future generations of wireless communications systems are expected to evolve toward allowing massive ubiquitous connectivity and achieving ultra-reliable and low-latency communications (URLLC) with extremely high data rates. Massive multiple-input multiple-output (m-MIMO) is a crucial transmission t...
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MDPI AG
2023-06-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/11/2494 |
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| author | Marwah Abdulrazzaq Naser Alaa M. Abdul-Hadi Muntadher Alsabah Basheera M. Mahmmod Ammar Majeed Sadiq H. Abdulhussain |
| author_facet | Marwah Abdulrazzaq Naser Alaa M. Abdul-Hadi Muntadher Alsabah Basheera M. Mahmmod Ammar Majeed Sadiq H. Abdulhussain |
| author_sort | Marwah Abdulrazzaq Naser |
| collection | DOAJ |
| description | Future generations of wireless communications systems are expected to evolve toward allowing massive ubiquitous connectivity and achieving ultra-reliable and low-latency communications (URLLC) with extremely high data rates. Massive multiple-input multiple-output (m-MIMO) is a crucial transmission technique to fulfill the demands of high data rates in the upcoming wireless systems. However, obtaining a downlink (DL) training sequence (TS) that is feasible for fast channel estimation, i.e., meeting the low-latency communications required by future generations of wireless systems, in m-MIMO with frequency-division-duplex (FDD) when users have different channel correlations is very challenging. Therefore, a low-complexity solution for designing the DL training sequences to maximize the achievable sum rate of FDD systems with limited channel coherence time (CCT) is proposed using a waterfilling power allocation method. This achievable sum rate maximization is achieved using sequences produced from a summation of the user’s covariance matrices and then applying a waterfilling power allocation method to the obtained low-complexity training sequence. The results show that the proposed TS outperforms the existing methods in the medium and high SNR regimes while reducing computational complexity. The obtained results signify the proposed TS’s feasibility for practical consideration compared with the existing DL training sequence designs. |
| first_indexed | 2024-03-11T03:08:39Z |
| format | Article |
| id | doaj.art-78701182d27b4be1ac319263de15b9b4 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T03:08:39Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-78701182d27b4be1ac319263de15b9b42023-11-18T07:45:41ZengMDPI AGElectronics2079-92922023-06-011211249410.3390/electronics12112494Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications SystemsMarwah Abdulrazzaq Naser0Alaa M. Abdul-Hadi1Muntadher Alsabah2Basheera M. Mahmmod3Ammar Majeed4Sadiq H. Abdulhussain5Department of Computer Engineering, University of Baghdad, Al-Jadriya, Baghdad 10071, IraqDepartment of Computer Engineering, University of Baghdad, Al-Jadriya, Baghdad 10071, IraqMedical Technical College, Al-Farahidi University, Baghdad 10071, IraqDepartment of Computer Engineering, University of Baghdad, Al-Jadriya, Baghdad 10071, IraqContinuing Education Center, University of Baghdad, Al-Jadriya, Baghdad 10071, IraqDepartment of Computer Engineering, University of Baghdad, Al-Jadriya, Baghdad 10071, IraqFuture generations of wireless communications systems are expected to evolve toward allowing massive ubiquitous connectivity and achieving ultra-reliable and low-latency communications (URLLC) with extremely high data rates. Massive multiple-input multiple-output (m-MIMO) is a crucial transmission technique to fulfill the demands of high data rates in the upcoming wireless systems. However, obtaining a downlink (DL) training sequence (TS) that is feasible for fast channel estimation, i.e., meeting the low-latency communications required by future generations of wireless systems, in m-MIMO with frequency-division-duplex (FDD) when users have different channel correlations is very challenging. Therefore, a low-complexity solution for designing the DL training sequences to maximize the achievable sum rate of FDD systems with limited channel coherence time (CCT) is proposed using a waterfilling power allocation method. This achievable sum rate maximization is achieved using sequences produced from a summation of the user’s covariance matrices and then applying a waterfilling power allocation method to the obtained low-complexity training sequence. The results show that the proposed TS outperforms the existing methods in the medium and high SNR regimes while reducing computational complexity. The obtained results signify the proposed TS’s feasibility for practical consideration compared with the existing DL training sequence designs.https://www.mdpi.com/2079-9292/12/11/2494massive MIMO systemsuniform planar arraytraining sequencesum rate maximizationspatial correlationFDD |
| spellingShingle | Marwah Abdulrazzaq Naser Alaa M. Abdul-Hadi Muntadher Alsabah Basheera M. Mahmmod Ammar Majeed Sadiq H. Abdulhussain Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications Systems Electronics massive MIMO systems uniform planar array training sequence sum rate maximization spatial correlation FDD |
| title | Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications Systems |
| title_full | Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications Systems |
| title_fullStr | Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications Systems |
| title_full_unstemmed | Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications Systems |
| title_short | Downlink Training Sequence Design Based on Waterfilling Solution for Low-Latency FDD Massive MIMO Communications Systems |
| title_sort | downlink training sequence design based on waterfilling solution for low latency fdd massive mimo communications systems |
| topic | massive MIMO systems uniform planar array training sequence sum rate maximization spatial correlation FDD |
| url | https://www.mdpi.com/2079-9292/12/11/2494 |
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