Interference-aware Resource Allocation in Satellite Integrated Terrestrial Networks

Abstract

In this paper, we consider a downlink SITN, where the densely deployed low earth orbit (LEO) satellites provide backhaul to terrestrial base stations (TBSs) and TBSs serve the ground users (GU) over different bands. Note that the user sum rate is dependent on the user association and backhaul capacity. Moreover, the multi-connectivity feature between TBSs and densely deployed LEO satellites aggravate the inter-satellite interference, which degrades the backhaul capacity. To this end, we propose an interference-aware resource allocation (IRA) scheme to maximize the user sum rate. Specifically, the TBSs can remove the satellites that will fly out of line-of-sight in the matching process by introducing an adjustment coefficient. Accordingly, the searching space of satellites can be reduced and the backhaul capacity can be improved with high time efficiency. Moreover, the user association is achieved by dividing GUs into different groups, while the required user demands can be satisfied. Considering the dense deployment of LEO satellites, with the well tuned adjustment coefficient, the backhaul capacity can be improved over 12%. Moreover, with the increasing user density, the gap between the user sum rate of IRA and the optimal solution can be reduced to less than 4%.