Joint Data Offloading and Resource Allocation for Terrestrial-Satellite Internet of Things

Abstract

In this paper, we propose a terrestrial-satellite Internet of Things (IoT) to integrate the geostationary earth orbit (GEO) satellite and the terrestrial small-cell base stations (SBSs) to achieve efficient data offloading. A terrestrial-satellite networks (TSN) framework with multi-access edge computing (MEC) is investigated for two kinds of multimedia services, computation-sensitive service and high-data-rate service. We aim to minimize the sum latency of services while satisfying the distinct quality of service (QoS) requirements jointly determined by data offloading (DO) and computing resource allocation (CA). Since the optimized problem is nonconvex, we decompose the formulated problem into two subproblems: 1) the DO subproblem minimizing the latency of two heterogeneous services, which is solved by one-to-many matching and 2) the CA subproblem that is solved by leveraging the convex optimization. Furthermore, an alternating iteration method is adopted to obtain the near-optimal solution with low computation complexity. Finally, simulation results are conducted with different system parameter configurations to verify the effectiveness of our proposed joint scheme.