Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks
The goal of the study presented in this work is to evaluate the performance of a proposed adaptive beamforming approach when combined with non-orthogonal multiple access (NOMA) in cell-free massive multiple input multiple output (CF m-MIMO) orientations. In this context, cooperative beamforming is e...
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MDPI AG
2024-11-01
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| Online Access: | https://www.mdpi.com/1424-8220/24/23/7548 |
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| author | Panagiotis Gkonis Spyros Lavdas George Vardoulias Panagiotis Trakadas Lambros Sarakis Konstantinos Papadopoulos |
| author_facet | Panagiotis Gkonis Spyros Lavdas George Vardoulias Panagiotis Trakadas Lambros Sarakis Konstantinos Papadopoulos |
| author_sort | Panagiotis Gkonis |
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| description | The goal of the study presented in this work is to evaluate the performance of a proposed adaptive beamforming approach when combined with non-orthogonal multiple access (NOMA) in cell-free massive multiple input multiple output (CF m-MIMO) orientations. In this context, cooperative beamforming is employed taking into consideration the geographically adjacent access points (APs) of a virtual cell, aiming to minimize co-channel interference (CCI) among mobile stations (MSs) participating in NOMA transmission. Performance is evaluated statistically via extensive Monte Carlo (MC) simulations in a two-tier wireless orientation. As the results indicate, for high data rate services, various key performance indicators (KPIs) can be improved compared to orthogonal multiple access, such as the minimum number of users in the topology as well as the available PRBs for downlink transmission. Although in NOMA transmission more directional beamforming configurations are required to compensate for the increased CCI levels, the increase in the number of hardware elements is reduced compared to the corresponding gain in the considered KPIs. |
| format | Article |
| id | doaj-art-d53407c39d1e49eb9d2734e2d86e633f |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj-art-d53407c39d1e49eb9d2734e2d86e633f2024-12-13T16:31:53ZengMDPI AGSensors1424-82202024-11-012423754810.3390/s24237548Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless NetworksPanagiotis Gkonis0Spyros Lavdas1George Vardoulias2Panagiotis Trakadas3Lambros Sarakis4Konstantinos Papadopoulos5Department of Digital Industry Technologies, National and Kapodistrian University of Athens, Dirfies Messapies, 34400 Athens, GreeceDepartment of Information Technology, American College of Greece, Ag. Paraskevi, 15342 Athens, GreeceHellenic Naval Academy, 18539 Piraeus, GreeceDepartment of Port Management and Shipping, National and Kapodistrian University of Athens, Dirfies Messapies, 34400 Athens, GreeceDepartment of Digital Industry Technologies, National and Kapodistrian University of Athens, Dirfies Messapies, 34400 Athens, GreeceDepartment of Digital Industry Technologies, National and Kapodistrian University of Athens, Dirfies Messapies, 34400 Athens, GreeceThe goal of the study presented in this work is to evaluate the performance of a proposed adaptive beamforming approach when combined with non-orthogonal multiple access (NOMA) in cell-free massive multiple input multiple output (CF m-MIMO) orientations. In this context, cooperative beamforming is employed taking into consideration the geographically adjacent access points (APs) of a virtual cell, aiming to minimize co-channel interference (CCI) among mobile stations (MSs) participating in NOMA transmission. Performance is evaluated statistically via extensive Monte Carlo (MC) simulations in a two-tier wireless orientation. As the results indicate, for high data rate services, various key performance indicators (KPIs) can be improved compared to orthogonal multiple access, such as the minimum number of users in the topology as well as the available PRBs for downlink transmission. Although in NOMA transmission more directional beamforming configurations are required to compensate for the increased CCI levels, the increase in the number of hardware elements is reduced compared to the corresponding gain in the considered KPIs.https://www.mdpi.com/1424-8220/24/23/75485Gnon-orthogonal multiple accessmassive MIMOmillimeter wave transmissionsystem-level simulations |
| spellingShingle | Panagiotis Gkonis Spyros Lavdas George Vardoulias Panagiotis Trakadas Lambros Sarakis Konstantinos Papadopoulos Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks Sensors 5G non-orthogonal multiple access massive MIMO millimeter wave transmission system-level simulations |
| title | Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks |
| title_full | Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks |
| title_fullStr | Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks |
| title_full_unstemmed | Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks |
| title_short | Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks |
| title_sort | adaptive beamforming cell free resource allocation and noma in large scale wireless networks |
| topic | 5G non-orthogonal multiple access massive MIMO millimeter wave transmission system-level simulations |
| url | https://www.mdpi.com/1424-8220/24/23/7548 |
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