NB-IoT via LEO Satellites: An Efficient Resource Allocation Strategy for Uplink Data Transmission

TLDR

Conventional NB‑IoT resource allocation is tailored to static terrestrial base stations, but LEO satellite operation introduces rapidly changing channel parameters, differential Doppler shifts, and high propagation delays, rendering existing methods unsuitable. This study aims to devise a novel uplink resource allocation strategy for LEO‑based NB‑IoT that jointly accounts for rapid channel dynamics, Doppler constraints, propagation delays, satellite coverage times, and heterogeneous user data demands. The strategy integrates real‑time channel state updates, Doppler‑aware scheduling, delay‑minimizing message exchange, and coverage‑aware resource assignment to meet diverse user requirements. The resulting framework eliminates outdated scheduling, respects Doppler limits, and serves as a foundation for future research in LEO‑NB‑IoT resource allocation.

Abstract

In this article, we focus on the use of low-Earth orbit (LEO) satellites providing the narrowband Internet of Things (NB-IoT) connectivity to the on-ground user equipments (UEs). Conventional resource allocation algorithms for the NB-IoT systems are particularly designed for terrestrial infrastructures, where devices are under the coverage of a specific base station (BS) and the whole system varies very slowly in time. The existing methods in the literature cannot be applied over LEO satellite-based NB-IoT systems for several reasons. First, with the movement of the LEO satellite, the corresponding channel parameters for each user will quickly change over time. Delaying the scheduling of a certain user would result in a resource allocation based on outdated parameters. Second, the differential Doppler shift, which is a typical impairment in communications over LEO, directly depends on the relative distance among users. Scheduling at the same radio frame users that overcome a certain distance would violate the differential Doppler limit supported by the NB-IoT standard. Third, the propagation delay over an LEO satellite channel is around 4–16 times higher compared to a terrestrial system, imposing the need for message exchange minimization between the users and the BS. In this work, we propose a novel uplink resource allocation strategy that jointly incorporates the new design considerations previously mentioned together with the distinct channel conditions, satellite coverage times, and data demands of various users on Earth. The novel methodology proposed in this article can act as a framework for future works in the field.