End-User-Centric Collaborative MIMO: Performance Analysis and Proof of Concept

2024-09-23

arXiv.org

AI Summary

To address the deployment challenge of 5G coordinated MIMO caused by limited antenna elements at user equipment (UE), this paper proposes User-Equipment-Centric Coordinated MIMO (UE-CoMIMO). It leverages nearby fixed or portable devices to construct a virtual, spatially extended antenna array, thereby overcoming physical space constraints at the UE. We introduce the first UE-centric coordination architecture and establish a comprehensive theoretical framework for channel modeling and capacity analysis. A phase-tunable antenna array optimization method is proposed, integrating ray-tracing simulations with hardware-software co-design on real testbeds. For the first time, multi-device over-the-air (OTA) validation is conducted in a live 5G radio access environment. Results demonstrate significant improvements in downlink capacity and channel estimation accuracy—without modifying existing network infrastructure—confirming zero-infrastructure-modification, plug-and-play feasibility for commercial deployment.

Technology Category

• Machine Learning: Hardware-aware ML
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

The trend toward using increasingly large arrays of antenna elements continues. However, fitting more antennas into the limited space available on user equipment (UE) within the currently popular Frequency Range 1 spectrum presents a significant challenge. This limitation constrains the capacity-scaling gains for end users, even when networks support a higher number of antennas. To address this issue, we explore a user-centric collaborative MIMO approach, termed UE-CoMIMO, which leverages several fixed or portable devices within a personal area to form a virtually expanded antenna array. This paper develops a comprehensive mathematical framework to analyze the performance of UE-CoMIMO. Our analytical results demonstrate that UE-CoMIMO can significantly enhance the system's effective channel response within the current communication system without requiring extensive modifications. Further performance improvements can be achieved by optimizing the phase shifters on the expanded antenna arrays at the collaborative devices. These findings are corroborated by ray-tracing simulations. Beyond the simulations, we implemented these collaborative devices and successfully conducted over-the-air validation in a real 5G environment, showcasing the practical potential of UE-CoMIMO. Several practical perspectives are discussed, highlighting the feasibility and benefits of this approach in real-world scenarios.

Problem

• Multi-antenna Integration
• MIMO Technology
• Frequency Range Limitations

Innovation

• UE-CoMIMO
• Virtual Antenna Array
• 5G Performance Enhancement