MIMO Layer Distribution Selection for Carrier Throughput
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Solution Overview
Problem
In cellular wireless networks, determining the optimal distribution of MIMO layers among carriers to maximize throughput is challenging, as various layer distributions are possible, and existing methods lack a systematic approach to select the most effective configuration based on constraints such as the number of carriers and layers.
Innovation Solution
A method is introduced where a base station compares candidate distributions of MIMO layer assignments across carriers, predicts the total throughput for each distribution, and selects the configuration that provides the highest total throughput, allowing for responsive configuration of MIMO service to maximize communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple MIMO layer distributions are possible among carriers, then system adaptability is improved, but device complexity increases due to the need to evaluate and select from multiple configurations
Solution Approach 1:
The patent changes the parameter of MIMO layer distribution across carriers by evaluating multiple possible distributions and selecting the optimal one based on predicted throughput. The base station dynamically adjusts layer allocation parameters (e.g., distributing N layers across M carriers in different patterns) to adapt to varying channel conditions and traffic demands, thereby resolving the contradiction between adaptability and complexity through intelligent parameter optimization.
2Productivity
If optimal MIMO layer distribution is selected based on throughput prediction, then productivity is improved, but measurement precision requirements increase for accurate throughput evaluation
Solution Approach 1:
The patent applies preliminary action by predicting throughput for each candidate MIMO layer distribution before actual deployment. The base station performs preliminary throughput evaluation using channel state information and historical data to estimate performance metrics, allowing it to select the optimal configuration in advance. This preliminary assessment reduces the need for highly precise real-time measurements during operation, as the decision is already made based on predictive analysis.
Data Source
AI summary
Disclosed are methods and systems for selecting and configuring a distribution of multiple-input multiple-output (MIMO) layers among one or more carriers. For a first candidate distribution, a base station may determine a first total throughput of communications between the base station and a user equipment device (UE). And for a second candidate distribution, the base station may determine a second total throughput of communications between the base station and the UE. Then, the base station may determine that the first total throughput is higher than the second total throughput and may responsively configure MIMO service of the UE with MIMO communication on at least two layers distributed across one or more carriers in accordance with the first distribution.