MU-MIMO Configuration Based on Block Error Rate
Find Innovative SolutionsGenerate Solutions
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 increase data capacity without requiring additional air-interface resources.
Innovation Solution
The implementation of massive-MIMO technology with a large antenna array and MU-MIMO configuration, where the base station selects UEs for MU-MIMO service based on factors like low BLER, power headroom, power class, mobility, and RF stability to optimize spectral efficiency by concurrently transmitting to multiple UEs on the same frequency resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional licensed spectrum is configured to accommodate subscriber communication needs, then data capacity and quality of service are improved, but system cost increases
Solution Approach 1:
The patent combines multiple UEs' data transmissions into the same time-frequency resources by using MU-MIMO technology. The base station transmits spatially separated data streams to multiple UEs simultaneously on the same physical resource blocks, effectively merging multiple communication flows into a single resource allocation, thereby increasing data capacity without requiring additional spectrum.
Solution Approach 2:
The patent introduces the spatial dimension into the communication system by using multiple transmit and receive antennas. By transmitting data streams along different spatial paths (layers) using the same frequency resources, the system achieves multiplexing in the spatial domain, effectively adding another dimension for resource utilization and increasing capacity without additional spectrum.
2Productivity
If MIMO technology is implemented to improve spectral efficiency, then data capacity per frequency is increased, but device complexity increases
Solution Approach 1:
The patent segments the data stream into multiple spatial layers, with each layer carrying a portion of the data to a specific UE. The base station divides the overall data transmission task into multiple parallel spatial streams, each processed and transmitted independently through different antenna combinations, thereby managing complexity through modular segmentation of the transmission function.
Solution Approach 2:
The patent creates a universal MU-MIMO transmission framework that can serve multiple UEs with different service requirements using the same physical resource blocks. The system is designed to handle various UE scenarios (different channel conditions, data rates, QoS requirements) through a unified multi-user MIMO approach, making the antenna array configuration versatile and multi-functional.
Data Source
AI summary
A method and system for controlling application of MU-MIMO. The disclosure provides for considering a device's block error rate (BLER) 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 BLER. 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' levels of BLER and could select the devices that have lower BLER to receive MU-MIMO service.