Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication

TL;DR

This paper proposes low-complexity user scheduling algorithms for uplink hybrid satellite-terrestrial systems, optimizing sum rate with instantaneous CSI and minimizing outage probability with CDI, validated through numerical simulations.

Contribution

It introduces novel scheduling algorithms tailored for hybrid satellite-terrestrial uplink systems considering different CSI availability scenarios.

Findings

Algorithms achieve high efficiency in simulations

Optimized sum rate with instantaneous CSI

Reduced outage probability with CDI

Abstract

Due to increasing demands of seamless connection and massive information exchange across the world, the integrated satellite-terrestrial communication systems develop rapidly. To shed lights on the design of this system, we consider an uplink communication model consisting of a single satellite, a single terrestrial station and multiple ground users. The terrestrial station uses decode-and-forward (DF) to facilitate the communication between ground users and the satellite. The channel between the satellite and the terrestrial station is assumed to be a quasi-static shadowed Rician fading channel, while the channels between the terrestrial station and ground users are assumed to experience independent quasi-static Rayleigh fading. We consider two cases of channel state information (CSI) availability. When instantaneous CSI is available, we derive the instantaneous achievable sum rate of all ground users and formulate an optimization problem to maximize the sum rate. When only channel distribution information (CDI) is available, we derive a closed-form expression for the outage probability and formulate another optimization problem to minimize the outage probability. Both optimization problems correspond to scheduling algorithms for ground users. For both cases, we propose low-complexity user scheduling algorithms and demonstrate the efficiency of our scheduling algorithms via numerical simulations.