3D Cellular Network Architecture with Drones for beyond 5G

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.

Authors:
Mozaffari Mohammad, Kasgari Ali Taleb Zadeh, Saad Walid, Bennis Mehdi, Debbah Mérouane

Publication type:
A4 Article in conference proceedings

Place of publication:
2018 IEEE Global Communications Conference, GLOBECOM 2018

Keywords:
6G Publication

Published:
21 February 2019

Full citation:
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

DOI:
https://doi.org/10.1109/GLOCOM.2018.8647225

Read the publication here:
http://urn.fi/urn:nbn:fi-fe202003248971