Multi-tier Drone Architecture for 5G/B5G Cellular Networks: Challenges, Trends, and Prospects

TL;DR

This paper explores the potential of multi-tier drone architectures in 5G/B5G networks, analyzing their feasibility, challenges, and performance benefits, especially in enhancing spectral efficiency over traditional single-tier drone networks.

Contribution

It introduces a comprehensive analysis of multi-tier drone network architecture, comparing it with single-tier systems, and identifies optimal deployment scenarios for improved spectral efficiency.

Findings

Multi-tier drone networks can enhance spectral efficiency under specific load conditions.

Optimal drone altitude and density vary with network load and tier configuration.

Deployment of drones is beneficial when user-to-base station ratio exceeds certain thresholds.

Abstract

Drones (or unmanned aerial vehicles [UAVs]) are expected to be an important component of fifth generation (5G)/beyond 5G (B5G) cellular architectures that can potentially facilitate wireless broadcast or point-to-multipoint transmissions. The distinct features of various drones such as the maximum operational altitude, communication, coverage, computation, and endurance impel the use of a multi-tier architecture for future drone-cell networks. In this context, this article focuses on investigating the feasibility of multi-tier drone network architecture over traditional single-tier drone networks and identifying the scenarios in which drone networks can potentially complement the traditional RF-based terrestrial networks. We first identify the challenges associated with multi-tier drone networks as well as drone-assisted cellular networks. We then review the existing state-of-the-art innovations in drone networks and drone-assisted cellular networks. We then investigate the performance of a multi-tier drone network in terms of spectral efficiency of downlink transmission while illustrating the optimal intensity and altitude of drones in different tiers numerically. Our results demonstrate the specific network load conditions (i.e., ratio of user intensity and base station intensity) where deployment of drones can be beneficial (in terms of spectral efficiency of downlink transmission) for conventional terrestrial cellular networks.