Joint User Association and Beamforming in Integrated Satellite-HAPS-Ground Networks

TL;DR

This paper introduces a hybrid satellite-HAPS-ground network model that optimizes user association and beamforming to enhance network throughput, demonstrating significant gains through iterative optimization techniques.

Contribution

It presents a novel joint optimization framework for user association and beamforming in satellite-HAPS-ground networks, addressing mixed discrete-continuous problems with an iterative approach.

Findings

Proposed algorithm achieves notable throughput improvements.

HAPS with beamforming significantly enhances connectivity.

Simulation results validate the effectiveness of the joint optimization.

Abstract

This paper proposes, and evaluates the benefit of, one particular hybrid satellite-HAPS-ground network, where one high-altitude-platform-station (HAPS) connected to one geo-satellite assists the ground base-stations (BSs) at serving ground-level users. The paper assumes that the geo-satellite is connected to the HAPS using free-space-optical backhaul link. The HAPS, equipped with multiple antennas, aims at transmitting the geo-satellite data to the users via radio-frequency (RF) links using spatial-multiplexing. Each ground BS, on the other hand, is equipped with multiple antennas, but directly serves the users through the RF links. The paper then focuses on maximizing the network-wide throughput, subject to HAPS payload connectivity constraint, HAPS and BSs power constraints, and backhaul constraints, so as to jointly determine the user association strategy of each user (i.e., user to geo-satellite via HAPS, or user to BS), and their associated beamforming vectors. We tackle such a mixed discrete-continuous optimization problem using an iterative approach, where the user association is determined using a combination of integer linear programming and generalized assignment problems, and where the beamforming strategy is found using a weighted-minimum-mean-squared-error approach. The simulations illustrate the appreciable gain of our proposed algorithm, and highlight the prospects of augmenting the ground networks with beamforming empowered HAPS for connecting the unconnected, and super-connecting the connected.