New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO
In wireless communications, designing Data Rate (R) and Energy Efficient (EE) Beamspace-Multiple Inputs Multiple Outputs (BS-MIMO) for the millimetre wave communications are challenging research problems from the last decade. There are different solutions presented such as Fully-Digital (FD), BS-MIM...
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my.uthm.eprints.83842023-02-23T06:35:23Z http://eprints.uthm.edu.my/8384/ New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO Haitham, Al Fatli T Technology (General) In wireless communications, designing Data Rate (R) and Energy Efficient (EE) Beamspace-Multiple Inputs Multiple Outputs (BS-MIMO) for the millimetre wave communications are challenging research problems from the last decade. There are different solutions presented such as Fully-Digital (FD), BS-MIMO, and BS-MIMO Non-Orthogonal Multiple-Accesses (BS-MIMO NOMA). To address these problems, a novel mm-Wave communication is proposed with a user clustering approach called BS MIMO C-NOMA. It combines the advantages of NOMA and BS-MIMO at first then combines user-clustering to enhance throughput of BS-MIMO NOMA downlink-multi-user NOMA. The efficient users cluster has been proposed to improve the spectral, power efficiency, and the quantity of upheld clients can be bigger than the quantity of Radio Frequency (RF) chains in the time frequency assets as well compared to existing solutions. Iterative power optimization methods with less complexity have been designed to use a dynamic power allocation in order to achieve EE performance. In this thesis, a lens antenna was used in the experiment to assess the lens's effectiveness in maximizing the signal. The simulation outcomes demonstrate the R and EE in C-NOMA are much higher than in NOMA by a percentage of 4.2 % and 26 % respectively, It means R is increased 6 % with a maximum of 50 users in C-NOMA compared to NOMA, and an increase of 3.92 % with a maximum 100 users. Then, EE results with a maximum 50 users for FD, MIMO, NOMA and C-NOMA are 1.172, 7.249, 10.879 and 13.72, respectively. Therefore, EE effects against SNR with 32 users in C-NOMA is 10.11 the highest compared to FD, MIMO and NOMA with 1.23, 6.58 and 7.58, respectively. The EE results of maximum 100 users for FD, MIMO, NOMA and C-NOMA are 1.29, 4.08, 7.85 and 10.82, respectively. The results of EE in C-NOMA show an increase of 37 % compared to NOMA with a maximum of 100 users. Signal strength result is increased from -18 dBm to -11 dBm by using the lens. We believe the proposed C-NOMA method can achieve higher result of R and EE compared to NOMA. 2022-06 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/8384/1/24p%20AL%20FATLI%20HAITHAM.pdf text en http://eprints.uthm.edu.my/8384/2/AL%20FATLI%20HAITHAM%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/8384/3/AL%20FATLI%20HAITHAM%20WATERMARK.pdf Haitham, Al Fatli (2022) New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO. Doctoral thesis, Universiti Tun Hussein Onn Malaysia. |
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T Technology (General) Haitham, Al Fatli New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO |
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In wireless communications, designing Data Rate (R) and Energy Efficient (EE) Beamspace-Multiple Inputs Multiple Outputs (BS-MIMO) for the millimetre wave communications are challenging research problems from the last decade. There are different solutions presented such as Fully-Digital (FD), BS-MIMO, and BS-MIMO Non-Orthogonal Multiple-Accesses (BS-MIMO NOMA). To address these problems, a novel mm-Wave communication is proposed with a user clustering approach called BS MIMO C-NOMA. It combines the advantages of NOMA and BS-MIMO at first then combines user-clustering to enhance throughput of BS-MIMO NOMA downlink-multi-user NOMA. The efficient users cluster has been proposed to improve the spectral, power efficiency, and the quantity of upheld clients can be bigger than the quantity of Radio Frequency (RF) chains in the time frequency assets as well compared to existing solutions. Iterative power optimization methods with less complexity have been designed to use a dynamic power allocation in order to achieve EE performance. In this thesis, a lens antenna was used in the experiment to assess the lens's effectiveness in maximizing the signal. The simulation outcomes demonstrate the R and EE in C-NOMA are much higher than in NOMA by a percentage of 4.2 % and 26 % respectively, It means R is increased 6 % with a maximum of 50 users in C-NOMA compared to NOMA, and an increase of 3.92 % with a maximum 100 users. Then, EE results with a maximum 50 users for FD, MIMO, NOMA and C-NOMA are 1.172, 7.249, 10.879 and 13.72, respectively. Therefore, EE effects against SNR with 32 users in C-NOMA is 10.11 the highest compared to FD, MIMO and NOMA with 1.23, 6.58 and 7.58, respectively. The EE results of maximum 100 users for FD, MIMO, NOMA and C-NOMA are 1.29, 4.08, 7.85 and 10.82, respectively. The results of EE in C-NOMA show an increase of 37 % compared to NOMA with a maximum of 100 users. Signal strength result is increased from -18 dBm to -11 dBm by using the lens. We believe the proposed C-NOMA method can achieve higher result of R and EE compared to NOMA. |
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Thesis |
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Haitham, Al Fatli |
author_facet |
Haitham, Al Fatli |
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Haitham, Al Fatli |
title |
New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO |
title_short |
New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO |
title_full |
New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO |
title_fullStr |
New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO |
title_full_unstemmed |
New energy-efficient-user clustering and power allocation for NOMA in 5G millimeter-wave massive MIMO |
title_sort |
new energy-efficient-user clustering and power allocation for noma in 5g millimeter-wave massive mimo |
publishDate |
2022 |
url |
http://eprints.uthm.edu.my/8384/1/24p%20AL%20FATLI%20HAITHAM.pdf http://eprints.uthm.edu.my/8384/2/AL%20FATLI%20HAITHAM%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8384/3/AL%20FATLI%20HAITHAM%20WATERMARK.pdf http://eprints.uthm.edu.my/8384/ |
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13.211869 |