A Novel 3D Antenna Architecture with Spatial Resource Allocation for Massive MIMO HAPS

TL;DR

This paper introduces a 3D antenna architecture and resource allocation strategy for massive MIMO HAPS to reduce spatial correlation and improve data rates.

Contribution

It proposes a sectorized antenna design and a joint optimization approach for power and resource allocation in HAPS systems.

Findings

Spatial resource allocation effectively manages interference.

Sectorized antennas reduce spatial correlation.

Optimized power and resource allocation maximize data rates.

Abstract

Spatial correlation poses a significant challenge in massive multiple-input multiple-output (MIMO) high-altitude platform station (HAPS) systems. The inherent spatial correlation among antenna elements on the HAPS induces high correlation and interference among users' channel gains. To mitigate this issue, we propose an integrated approach that combines spatial resource allocation and user clustering. In our proposed solution, we assign the same resource blocks to users with orthogonal channel gains, while users with non-orthogonal channel gains receive different resource blocks. Additionally, we propose a sectorized antenna architecture for the massive MIMO HAPS base station, specifically designed to directly transmit three-dimensional beams to users and reduce spatial correlation among antenna elements. This work addresses the joint optimization problem of power allocation and resource allocation to maximize the overall data rate of the massive MIMO HAPS system. Simulation results revealed the role of spatial resource allocation in managing spatial correlation and interference among users.