Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network Towards 6G

TL;DR

This paper proposes a novel resource management scheme for terrestrial-satellite networks with hot air balloons at varying heights, optimizing energy efficiency through joint caching, computing, and communication strategies.

Contribution

It introduces a joint resource management framework considering non-uniform satellite serving times and employs a tapped water-filling algorithm with geometric programming for optimization.

Findings

Enhanced energy efficiency in TSN with variable balloon heights.

Effective scheduling of satellite relay traffic using the proposed algorithm.

Simulation confirms improved system performance and resource utilization.

Abstract

Terrestrial-satellite networks are envisioned to play a significant role in the sixth-generation (6G) wireless networks. In such networks, hot air balloons are useful as they can relay the signals between satellites and ground stations. Most existing works assume that the hot air balloons are deployed at the same height with the same minimum elevation angle to the satellites, which may not be practical due to possible route conflict with airplanes and other flight equipment. In this paper, we consider a TSN containing hot air balloons at different heights and with different minimum elevation angles, which creates the challenge of non-uniform available serving time for the communication between the hot air balloons and the satellites. Jointly considering the caching, computing, and communication (3C) resource management for both the ground-balloon-satellite links and inter-satellite laser links, our objective is to maximize the network energy efficiency. Firstly, by proposing a tapped water-filling algorithm, we schedule the traffic to relay among satellites according to the available serving time of satellites. Then, we generate a series of configuration matrices, based on which we formulate the relationship of relay time and the power consumption involved in the relay among satellites. Finally, the integrated system model of TSN is built and solved by geometric programming with Taylor series approximation. Simulation results demonstrate the effectiveness of our proposed scheme.