QoE-Aware Beamforming Design for Massive MIMO Heterogeneous Networks

TL;DR

This paper proposes a QoE-aware beamforming strategy for massive MIMO HetNets, optimizing user satisfaction for video and web browsing services through efficient resource allocation and antenna deployment.

Contribution

It introduces a novel QoE-based beamforming design for massive MIMO HetNets, incorporating constraints for user QoE and proposing computationally efficient solutions.

Findings

More antennas improve user satisfaction.

Increasing small cell antennas enhances QoE.

Proposed solutions are computationally efficient.

Abstract

One of the main goals of the future wireless networks is improving the users quality of experience (QoE). In this paper, we consider the problem of QoE-based resource allocation in the downlink of a massive multiple-input multiple-output (MIMO) heterogeneous network (HetNet). The network consists of a macro cell with a number of small cells embedded in it. The small cells base stations (BSs) are equipped with a few antennas, while the macro BS is equipped with a massive number of antennas. We consider the two services Video and Web Browsing and design the beamforming vectors at the BSs. The objective is to maximize the aggregated Mean Opinion Score (MOS) of the users under constraints on the BSs powers and the required quality of service (QoS) of the users. We also consider extra constraints on the QoE of users to more strongly enforce the QoE in the beamforming design. To reduce the complexity of the optimization problem, we suggest suboptimal and computationally efficient solutions. Our results illustrate that increasing the number of antennas at the BSs and also increasing the number of small cells antennas in the network leads to a higher user satisfaction.