University of Oulu

M. Mozaffari, A. T. Z. Kasgari, W. Saad, M. Bennis and M. Debbah, "3D Cellular Network Architecture with Drones for beyond 5G," 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6. doi: 10.1109/GLOCOM.2018.8647225

3D cellular network architecture with drones for beyond 5G

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Author: Mozaffari, Mohammad1; Kasgari, Ali Taleb Zadeh2; Saad, Walid2;
Organizations: 1Ericsson, CA, USA
2Wireless@VT, Electrical and Computer Engineering Department, Virginia Tech, VA, USA
3CWC - Centre for Wireless Communications, Oulu, Finland
4Mathematical and Algorithmic Sciences Lab, Huawei France R & D, Paris, France
5CentraleSupelec, Université Paris-Saclay, Gif-sur-Yvette, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-03-24


In this paper, a novel concept of three-dimensional (3D) cellular networks, that integrate drone base stations (drone-BS) and drone users (drone-UEs), is introduced. For this new 3D cellular network architecture, a novel framework for the deployment of drone-BSs and latency-minimal cell association for drone-UEs is proposed. For drone-BSs’ deployment, a tractable method based on the notion of truncated octahedron shapes is proposed that ensures full coverage for a given space with minimum number of drone-BSs. Then, an optimal 3D cell association scheme is determined such that the drone-UEs’ latency, considering transmission, computation, and backhaul latencies, is minimized. In particular, using optimal transport theory, the optimal 3D cell partitions are derived according to the spatial distribution of drone-UEs and the drone-BSs’ locations. Simulation results show that the proposed approach reduces the latency of drone-UEs compared to the classical cell association approach that uses a signal-to-interference-plus-noise ratio (SINR) criterion. In particular, the proposed approach yields a reduction of up to 46% in average latency compared to the SINR-based association. Also, it is shown that the proposed latency-optimal cell association improves the spectral efficiency of a 3D wireless cellular network of drones.

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ISBN: 978-1-5386-4727-1
ISBN Print: 978-1-5386-4728-8
Pages: 1 - 6
Article number: 8647225
DOI: 10.1109/GLOCOM.2018.8647225
Host publication: 2018 IEEE Global Communications Conference, GLOBECOM 2018
Conference: IEEE Global Communications Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Army Research Office (ARO) under Grant W911NF-17-1-0593, in part by the US NSF under Grants AST-1506297 and CNS-1460316, and by the ERC Starting Grant MORE (Advanced Mathematical Tools for Complex Network Engineering). Dr. Bennis work was supported by Academy of Finland project CARMA, 6Genesis Flagship (grant no. 318927), the INFOTECH project NOOR, and the Kvantum Institute strategic project SAFARI.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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