Analysis of UAV Communications in Cell-Free Massive MIMO Systems
We study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO architecture, wherein a large number of access points (APs) is deployed in place of large co-located massive MIMO arrays. We consider also a variation of the pure cell-free architecture by applying a u...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8952782/ |
| _version_ | 1818369895594721280 |
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| author | Carmen D'Andrea Adrian Garcia-Rodriguez Giovanni Geraci Lorenzo Galati Giordano Stefano Buzzi |
| author_facet | Carmen D'Andrea Adrian Garcia-Rodriguez Giovanni Geraci Lorenzo Galati Giordano Stefano Buzzi |
| author_sort | Carmen D'Andrea |
| collection | DOAJ |
| description | We study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO architecture, wherein a large number of access points (APs) is deployed in place of large co-located massive MIMO arrays. We consider also a variation of the pure cell-free architecture by applying a user-centric association approach, where each user is served only from a subset of APs in the network. Under the general assumption that the propagation channel between the mobile stations, either UAVs or ground users (GUEs), and the APs follows a Ricean distribution, we derive closed form spectral efficiency lower bounds for uplink and downlink with linear minimum mean square error channel estimation. We consider several power allocation and user scheduling strategies for such a system, and, among these, also minimum-rate maximizing power allocation strategies to improve the system fairness. Our numerical results reveal that cell-free massive MIMO architecture and its low-complexity user-centric alternative may provide better performance than a traditional multi-cell massive MIMO network deployment. |
| first_indexed | 2024-12-13T23:31:07Z |
| format | Article |
| id | doaj.art-9754872f2e8e48fa95e881a204f4087a |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-12-13T23:31:07Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-9754872f2e8e48fa95e881a204f4087a2022-12-21T23:27:25ZengIEEEIEEE Open Journal of the Communications Society2644-125X2020-01-01113314710.1109/OJCOMS.2020.29649838952782Analysis of UAV Communications in Cell-Free Massive MIMO SystemsCarmen D'Andrea0https://orcid.org/0000-0002-9398-4111Adrian Garcia-Rodriguez1Giovanni Geraci2Lorenzo Galati Giordano3Stefano Buzzi4Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, ItalyAccess and Devices Research Lab, Nokia Bell Labs, DublinIrelandDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, SpainAccess and Devices Research Lab, Nokia Bell Labs, DublinIrelandDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, ItalyWe study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO architecture, wherein a large number of access points (APs) is deployed in place of large co-located massive MIMO arrays. We consider also a variation of the pure cell-free architecture by applying a user-centric association approach, where each user is served only from a subset of APs in the network. Under the general assumption that the propagation channel between the mobile stations, either UAVs or ground users (GUEs), and the APs follows a Ricean distribution, we derive closed form spectral efficiency lower bounds for uplink and downlink with linear minimum mean square error channel estimation. We consider several power allocation and user scheduling strategies for such a system, and, among these, also minimum-rate maximizing power allocation strategies to improve the system fairness. Our numerical results reveal that cell-free massive MIMO architecture and its low-complexity user-centric alternative may provide better performance than a traditional multi-cell massive MIMO network deployment.https://ieeexplore.ieee.org/document/8952782/Cell-free massive MIMORicean fading channelspectral efficiencypower allocationUAV communicationsuser-centric |
| spellingShingle | Carmen D'Andrea Adrian Garcia-Rodriguez Giovanni Geraci Lorenzo Galati Giordano Stefano Buzzi Analysis of UAV Communications in Cell-Free Massive MIMO Systems IEEE Open Journal of the Communications Society Cell-free massive MIMO Ricean fading channel spectral efficiency power allocation UAV communications user-centric |
| title | Analysis of UAV Communications in Cell-Free Massive MIMO Systems |
| title_full | Analysis of UAV Communications in Cell-Free Massive MIMO Systems |
| title_fullStr | Analysis of UAV Communications in Cell-Free Massive MIMO Systems |
| title_full_unstemmed | Analysis of UAV Communications in Cell-Free Massive MIMO Systems |
| title_short | Analysis of UAV Communications in Cell-Free Massive MIMO Systems |
| title_sort | analysis of uav communications in cell free massive mimo systems |
| topic | Cell-free massive MIMO Ricean fading channel spectral efficiency power allocation UAV communications user-centric |
| url | https://ieeexplore.ieee.org/document/8952782/ |
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