Cell-free UAV networks with wireless fronthaul: analysis and optimization

The use of uncrewed aerial vehicles (UAVs) in cell-free networks is poised to unleash a number of new opportunities to further improve wireless networks. However, cell-free UAV networks present major challenges related to the wireless nature of access and fronthaul links. This manuscript studies the...

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Detalles Bibliográficos
Autores: Diaz-Vilor, Carles, Lozano Solsona, Angel, Jafarkhani, Hamid
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consorcio Madroño
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:dnet:recercat____::3a86f5f6bb81db1b224c088c3ff75b81
Acceso en línea:https://hdl.handle.net/10230/72915
http://dx.doi.org/10.1109/TWC.2023.3294908
Access Level:acceso abierto
Palabra clave:Cell-free
UAV
Fronthaul
FDMA
SDMA
Deployment optimization
Power optimization
Descripción
Sumario:The use of uncrewed aerial vehicles (UAVs) in cell-free networks is poised to unleash a number of new opportunities to further improve wireless networks. However, cell-free UAV networks present major challenges related to the wireless nature of access and fronthaul links. This manuscript studies the uplink of cell-free systems where users connect to UAVs, the latter devices forwarding the information to a processing point through imperfect wireless fronthaul links. Three multiple access alternatives are considered for the fronthaul, namely frequency division multiples access, spatial division multiple access, and combinations thereof. Deterministic equivalent expressions for the spectral efficiency under these fronthaul schemes and minimum mean-square error reception are derived. Then, the optimization subproblems of (a) the 3D deployment of the UAVs, (b) the user transmit powers, and (c) the UAV transmit powers, are investigated. The joint optimization of these subproblems yields superior performance, with the 3D deployment being the main source of improvement.