Analysis of Large Scale Aerial Terrestrial Networks with mmWave Backhauling

Nour Hicham Kouzayha, Hesham El Sawy, Hayssam Dahrouj, Khlod Alshaikh, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Service providers are considering the use of unmanned aerial vehicles (UAVs) to enhance wireless connectivity of cellular networks. To provide connectivity, UAVs have to be backhauled through terrestrial base stations (BSs) to the core network. In particular, we consider millimeter-wave (mmWave) backhauling in the downlink of a hybrid aerial-terrestrial network, where the backhaul links are subject to beamforming misalignment errors. In the proposed model, the user equipment (UE) can connect to either a ground BS or a UAV, where we differentiate between two transmission schemes according to the backhaul status. In one scheme, the UEs are served by the UAVs regardless of whether the backhaul links are good or not. In the other scheme, the UAVs are aware of the backhaul links status, and hence, only the subset of successfully backhauled UAVs can serve the UEs. Using stochastic geometry, the performance of the proposed model is assessed in terms of coverage probability and validated against Monte-Carlo simulations. Several insights are provided for determining some system parameters including the UAVs altitude and required number and the beamforming misalignment error of the backhaul link. The obtained results highlight the impact of the UAVs backhaul link on the UE experience.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Wireless Communications
StatePublished - 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-08-31
Acknowledgements: This work was supported in part by the office of sponsored research and the Center of Excellence for NEOM Research at King Abdullah University of Science and Technology (KAUST).


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