MU-MIMO UE Selection via RF Stability
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Solution Overview
Problem
Wireless communication systems face challenges in spectral efficiency, particularly in dense urban areas where providing high aggregate throughput with limited spectrum is necessary, leading to the need for innovative methods to enhance data capacity without requiring additional air-interface resources.
Innovation Solution
The implementation of massive-MIMO technology with a large antenna array, combined with MU-MIMO configurations, allows for concurrent high-throughput transmissions to multiple UEs using the same air-interface resources, optimizing the selection of UEs based on factors like low BLER, power headroom, power class, mobility, and RF stability to maximize spectral efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional licensed spectrum is configured to accommodate subscriber communication needs, then spectral efficiency and data capacity are improved, but system cost increases
Solution Approach 1:
The patent combines multiple UEs' data transmissions into a single shared transmission by merging their data streams at the base station. This allows concurrent data transmission to multiple UEs over the same air-interface resources, effectively multiplying the data capacity without requiring additional spectrum. The base station acts as a consolidation point where data from multiple UEs is combined and transmitted efficiently using the available spectrum resources.
Solution Approach 2:
The patent introduces a new dimension of data transmission by implementing a shared transmission mechanism that operates parallel to traditional dedicated transmissions. Instead of allocating separate frequency-time resources to each UE, the system creates an additional transmission dimension where multiple UEs share the same resources through coordinated data combining at the base station, thereby increasing spectral efficiency without consuming more spectrum.
2Productivity
If MIMO technology is implemented to increase data capacity, then spectral efficiency is improved, but device complexity increases
Solution Approach 1:
The base station's antenna array is designed to serve multiple functions: it can perform traditional dedicated transmissions to individual UEs, concurrent MIMO transmissions to multiple UEs, and the new shared transmission function where data from multiple UEs is combined and transmitted together. This multi-functionality allows the system to achieve high spectral efficiency without requiring separate specialized hardware for each transmission type, thereby managing device complexity while improving productivity.
3Productivity
If MU-MIMO service is provided to multiple UEs concurrently, then network capacity is improved, but selection criteria and configuration complexity increase
Solution Approach 1:
The patent implements feedback mechanisms where UEs report their channel conditions, data buffer status, and transmission requirements to the base station. The base station uses this feedback information to dynamically select which UEs should participate in shared transmissions, determine the optimal data combining strategy, and adjust transmission parameters in real-time. This feedback-driven approach simplifies the selection and configuration process compared to static or exhaustive optimization methods.
Solution Approach 2:
The base station performs preliminary actions by pre-establishing shared transmission configurations and selection criteria before actual data transmission occurs. Channel conditions are pre-measured and stored, UE capabilities are pre-assessed, and transmission parameters are pre-calculated based on historical data patterns. This preliminary preparation reduces the complexity of real-time decision-making during active transmissions.
Data Source
AI summary
A method and system for controlling application of MU-MIMO. The disclosure provides for considering a device's rate of change of RF conditions as a basis to decide whether to provide the device with MU-MIMO service. For instance, a base station could determine which of the base station's served devices each have threshold low rate of change of RF conditions. And on at least that basis, the base station could select each such device to receive MU-MIMO service. Or faced with a choice between devices to receive MU-MIMO service, the base station could compare the devices' rates of change of RF conditions and could select the devices that have lower rate of change of RF conditions to receive MU-MIMO service.