Standalone Deployment of a Dynamic Drone Cell for Wireless Connectivity of Two Services

TL;DR

This paper proposes a dynamic drone small cell deployment strategy that optimizes wireless resource allocation and positioning to support high-priority broadband and machine-type communications simultaneously, outperforming static deployments.

Contribution

It introduces a novel dynamic deployment method combining orthogonal resource slicing and opportunistic positioning based on stochastic user locations, enhancing dual service support.

Findings

Dynamic deployment improves average BB user rates.

Optimized parameters ensure MTC reliability.

Performance surpasses static drone small cells in urban areas.

Abstract

We treat a setting in which two priority wireless service classes are offered in a given area by a drone small cell (DSC). Specifically, we consider broadband (BB) user with high priority and reliability requirements that coexists with random access machine-type-communications (MTC) devices. The drone serves both connectivity types with a combination of orthogonal slicing of the wireless resources and dynamic horizontal opportunistic positioning (D-HOP). We treat the D-HOP as a computational geometry function over stochastic BB user locations which requires careful adjustment in the deployment parameters to ensure MTC service at all times. Using an information theoretic approach, we optimize DSC deployment properties and radio resource allocation for the purpose of maximizing the average rate of BB users. While respecting the strict dual service requirements we analyze how system performance is affected by stochastic user positioning and density, topology, and reliability constraints combinations. The numerical results show that this approach outperforms static DSCs that fit the same coverage constraints, with outstanding performance in the urban setting.