Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks
<p dir="ltr">We propose a novel clustered random beamforming (RBF) scheme for multi-user multiple-input multiple-output (MIMO) downlink systems. The objective of this scheme is to maximize the number of served users while ensuring that each user meets a minimum quality of service (Qo...
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2025
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| _version_ | 1864513524067205120 |
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| author | Hamidreza Khakzad (23073979) |
| author2 | Abbas Taherpour (19273882) Ahmed El Shafie (23073982) Tamer Khattab (16870086) Mazen Omar Hasna (23073985) |
| author2_role | author author author author |
| author_facet | Hamidreza Khakzad (23073979) Abbas Taherpour (19273882) Ahmed El Shafie (23073982) Tamer Khattab (16870086) Mazen Omar Hasna (23073985) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hamidreza Khakzad (23073979) Abbas Taherpour (19273882) Ahmed El Shafie (23073982) Tamer Khattab (16870086) Mazen Omar Hasna (23073985) |
| dc.date.none.fl_str_mv | 2025-12-22T18:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/twc.2025.3618997 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Clustered_Random_Beamforming_and_Hierarchical_Modulation_for_Large_Multi-User_MIMO_Downlinks/31169476 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Communications engineering Electrical engineering Electronics, sensors and digital hardware Large multi-user MIMO channel state information massive MIMO hierarchical modulation random beamforming non-orthogonal multiple access sum-rate capacity Array signal processing Spectral efficiency Downlink Signal to noise ratio Complexity theory Quality of service Transmitting antennas Interference cancellation Throughput |
| dc.title.none.fl_str_mv | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">We propose a novel clustered random beamforming (RBF) scheme for multi-user multiple-input multiple-output (MIMO) downlink systems. The objective of this scheme is to maximize the number of served users while ensuring that each user meets a minimum quality of service (QoS) requirement. The system model comprises a base station (BS) equipped with multiple transmit antennas, serving multiple users. Hierarchical modulation (HM) is employed for each beam to improve spectral efficiency. To analyze the performance of the proposed scheme, we develop an analytical model by mapping the symbols of all users within a cluster onto different layers of a HM constellation. We demonstrate that the proposed scheme not only increases the number of served users but also enhances the sum-rate capacity of the system. Additionally, we discuss the selection of the optimal HM parameter based on predefined performance requirements, illustrated through a sample case. Simulation results indicate that the proposed hierarchical random beamforming (HRBF) scheme is highly promising for multi-user massive MIMO downlink systems, particularly in the context of 5G New Radio (NR) and future 6G networks and beyond.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Transactions on Wireless Communications<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/twc.2025.3618997" target="_blank">https://dx.doi.org/10.1109/twc.2025.3618997</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_aadc918e57c5da6f41366f70481e305c |
| identifier_str_mv | 10.1109/twc.2025.3618997 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/31169476 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO DownlinksHamidreza Khakzad (23073979)Abbas Taherpour (19273882)Ahmed El Shafie (23073982)Tamer Khattab (16870086)Mazen Omar Hasna (23073985)EngineeringCommunications engineeringElectrical engineeringElectronics, sensors and digital hardwareLarge multi-user MIMOchannel state informationmassive MIMOhierarchical modulationrandom beamformingnon-orthogonal multiple accesssum-rate capacityArray signal processingSpectral efficiencyDownlinkSignal to noise ratioComplexity theoryQuality of serviceTransmitting antennasInterference cancellationThroughput<p dir="ltr">We propose a novel clustered random beamforming (RBF) scheme for multi-user multiple-input multiple-output (MIMO) downlink systems. The objective of this scheme is to maximize the number of served users while ensuring that each user meets a minimum quality of service (QoS) requirement. The system model comprises a base station (BS) equipped with multiple transmit antennas, serving multiple users. Hierarchical modulation (HM) is employed for each beam to improve spectral efficiency. To analyze the performance of the proposed scheme, we develop an analytical model by mapping the symbols of all users within a cluster onto different layers of a HM constellation. We demonstrate that the proposed scheme not only increases the number of served users but also enhances the sum-rate capacity of the system. Additionally, we discuss the selection of the optimal HM parameter based on predefined performance requirements, illustrated through a sample case. Simulation results indicate that the proposed hierarchical random beamforming (HRBF) scheme is highly promising for multi-user massive MIMO downlink systems, particularly in the context of 5G New Radio (NR) and future 6G networks and beyond.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Transactions on Wireless Communications<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/twc.2025.3618997" target="_blank">https://dx.doi.org/10.1109/twc.2025.3618997</a></p>2025-12-22T18:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/twc.2025.3618997https://figshare.com/articles/journal_contribution/Clustered_Random_Beamforming_and_Hierarchical_Modulation_for_Large_Multi-User_MIMO_Downlinks/31169476CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/311694762025-12-22T18:00:00Z |
| spellingShingle | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks Hamidreza Khakzad (23073979) Engineering Communications engineering Electrical engineering Electronics, sensors and digital hardware Large multi-user MIMO channel state information massive MIMO hierarchical modulation random beamforming non-orthogonal multiple access sum-rate capacity Array signal processing Spectral efficiency Downlink Signal to noise ratio Complexity theory Quality of service Transmitting antennas Interference cancellation Throughput |
| status_str | publishedVersion |
| title | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks |
| title_full | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks |
| title_fullStr | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks |
| title_full_unstemmed | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks |
| title_short | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks |
| title_sort | Clustered Random Beamforming and Hierarchical Modulation for Large Multi-User MIMO Downlinks |
| topic | Engineering Communications engineering Electrical engineering Electronics, sensors and digital hardware Large multi-user MIMO channel state information massive MIMO hierarchical modulation random beamforming non-orthogonal multiple access sum-rate capacity Array signal processing Spectral efficiency Downlink Signal to noise ratio Complexity theory Quality of service Transmitting antennas Interference cancellation Throughput |