Cost Analysis for Drone based 5G eMBB Provision to Emergency Services

TL;DR

This paper analyzes the costs of deploying drone-based 5G networks for emergency services, optimizing parameters to minimize total ownership costs and exploring the impact of network centralization strategies.

Contribution

It introduces an analytical cost model for drone-based 5G deployment, jointly optimizing drone costs, link capacity, and network centralization to reduce total ownership costs.

Findings

Optimal drone deployment parameters identified for cost minimization

Higher-layer centralization reduces total cost of ownership

Sensitivity analysis reveals key cost-driving parameters

Abstract

There is growing interest in investigating how the 5G capabilities can be extended to the critical communications vertical, in an expedited time scale. This paper provides a comprehensive cost analysis of a drone-based 5G deployment solution for emergency services. The proposed deployment uses existing 4G and 5G ground small cells and the fronthaul, backhaul network. The cost analysis develops an analytical approach to minimize the Total Cost of Ownership (TCO), where the key parameters of drone unit cost, number of drones per link, and link capacity are jointly optimized. Our numerical analyses look at the TCO sensitivity to the above parameters to find sweet spots for deployment in different parameter combinations. The 3GPP centralization options are also investigated in terms of the TCO, and it is observed that centralization split points at higher layers benefit from lower TCO in this deployment model.