3D Cloud-RAN Functional Split to Provide 6G Connectivity on Mars

Bonafini, Stefano; Sacchi, Claudio; Granelli, Fabrizio; Bassoli, Riccardo; Fitzek, Frank H. P.; Kondepu, Koteswararao

doi:10.1109/aero53065.2022.9843703

Cited by 6 publications

(1 citation statement)

References 25 publications

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“…The achievement of the fronthaul data-rate needed to guarantee the fulfilment of the splitting functionalities depends on many factors, such as the number of antennas at RU side, the available sampling rate of the analog front-end and the selected split option. A detailed study regarding such aspects is carried out in [20], where the fronthaul communication system coping with the requirements of different v-BBU splitting options has been thoroughly described and technical solutions for its practical implementation have been proposed. The latency requirements are variously imposed by the standardization bodies upon specific criteria.…”

Section: B Splitting Optionsmentioning

confidence: 99%

An Analytical Study on Functional Split in Martian 3D Networks

Bonafini¹,

Sacchi²,

Bassoli³

et al. 2022

Preprint

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As space agencies are planning manned missions to reach Mars, researchers need to pave the way for supporting astronauts during their sojourn. This will also be achieved by providing broadband and low-latency connectivity through wireless network infrastructures. In such a framework, we propose a Martian deployment of a 3-Dimensional (3D) network acting as Cloud Radio Access Network (C-RAN). The scenario consists, mostly, of unmanned aerial vehicles (UAVs) and nanosatellites. Thanks to the thin Martian atmosphere, CubeSats can stably orbit at very-lowaltitude. This allows to meet strict delay requirements to split functions of the baseband processing between drones and CubeSats. The detailed analytical study, presented in this paper, confirmed the viability of the proposed 3D architecture, under some constraints and trade-off concerning the involved Space communication infrastructures, that are discussed in detail.

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Section: B Splitting Optionsmentioning

confidence: 99%