Badanie Sieci Massive MIMO o Architekturze Zorientowanej na Użytkownika

2023-08-21

PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE

AI Summary

This work proposes a user-centric Massive MIMO network architecture to address the low throughput experienced by cell-edge users in conventional cellular networks. Departing from the traditional cell-centric design, the proposed framework enables all base stations to cooperatively serve each individual user. Advanced system-level simulations based on a 3D ray-tracing channel model demonstrate that this architecture substantially enhances the quality of experience for edge users, achieving up to threefold higher throughput compared to conventional approaches. The results validate the effectiveness of user-centric design in improving both network fairness and spectral efficiency.

Technology Category

• Machine Learning: Learning on the Edge & Model Compression
• Multiagent Systems: Mechanism Design
• Cognitive Modeling & Cognitive Systems: Agent Architectures

Application Category

• User Modeling, Personalization and Recommendation: User privacy protection in personalized systems
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization

Abstract

The future 6G networks are expected to utilize large antenna arrays and follow the user-centric architecture, where the user is being served by all base stations. This work evaluates such a system within an advanced system-level simulator, which utilizes an accurate 3D Ray-Tracing radio channel model. Results show that the novel user-centric network architecture can increase the cell-edge users throughput by a fold of 3.

Problem

• Massive MIMO
• user-centric architecture
• 6G networks
• cell-edge throughput

Innovation

• user-centric architecture
• massive MIMO
• 6G networks
• 3D ray-tracing
• cell-edge throughput