MIMO Configuration Selection for Latency and Spectral Efficiency
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Solution Overview
Problem
Existing network technologies face challenges in efficiently managing MIMO configurations for diverse end devices with varying performance metrics in Next Generation wireless networks, such as 5G NR, leading to suboptimal performance and spectral efficiency.
Innovation Solution
A MIMO selection service that dynamically selects between SU-MIMO and MU-MIMO based on performance metrics like latency, throughput, and reliability, calculating optimal MIMO configurations for both performance-sensitive and non-performance-sensitive end devices to maximize spectral efficiency and improve network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single MIMO configuration is used for all end devices, then device complexity is reduced, but network performance and spectral efficiency deteriorate due to inability to accommodate diverse performance metrics
Solution Approach 1:
The patent segments end devices into two distinct groups: performance metric sensitive devices and performance metric non-sensitive devices. This segmentation allows the network to apply different MIMO configurations tailored to each group's requirements, thereby improving overall network performance without excessively complicating the configuration management system.
Solution Approach 2:
The patent implements dynamic MIMO configuration selection based on device type. The network dynamically chooses between SU-MIMO and MU-MIMO configurations depending on whether the end device is performance-sensitive or not, allowing the system to adapt to diverse performance requirements while maintaining manageable complexity through automated decision-making.
2Loss of time
If SU-MIMO is used for performance-sensitive devices, then latency is reduced, but spectral efficiency deteriorates due to dedicating resources to single users
Solution Approach 1:
The patent applies different MIMO configurations to different device groups based on their specific requirements. Performance-sensitive devices receive SU-MIMO configuration optimized for low latency, while non-performance-sensitive devices receive MU-MIMO configuration optimized for spectral efficiency. This local optimization resolves the contradiction by matching configuration quality to specific device needs.
3Loss of energy
If MU-MIMO is used for non-performance-sensitive devices, then spectral efficiency is improved, but latency increases due to shared resources among multiple users
Solution Approach 1:
The patent applies MU-MIMO configuration specifically to non-performance-sensitive devices where spectral efficiency is the priority and latency requirements are less stringent. This localized application of MU-MIMO to appropriate device groups resolves the contradiction by accepting increased latency only where it does not critically impact performance.
4Productivity
If MIMO configurations are optimized for each individual device, then network performance is improved, but device complexity and configuration management increase
Solution Approach 1:
The patent reduces configuration management complexity by segmenting devices into two categories and applying standardized configuration profiles to each segment. This approach achieves near-optimal performance by tailoring configurations to device groups rather than individual devices, significantly simplifying management while maintaining performance benefits.
Solution Approach 2:
The patent changes the configuration parameters based on device performance sensitivity characteristics. By identifying devices as either performance-sensitive or not, the system automatically adjusts MIMO configuration parameters (SU-MIMO vs. MU-MIMO), achieving optimized performance without manual per-device configuration complexity.
Data Source
AI summary
A method, a network device, and a non-transitory computer-readable storage medium are described in relation to an MIMO selection service. The MIMO selection service may include calculating MIMO configurations that include a number of layers for each MIMO configuration pertaining to a group of end devices; and identifying performance metric sensitive end devices of the group. The MIMO selection service may further include selecting for each performance metric sensitive end device, a first MIMO configuration from the MIMO configurations that has a higher number of layers relative to one or more other MIMO configurations of the MIMO configurations; and selecting for each non-performance metric sensitive end device of the group, a second MIMO configuration from the MIMO configurations that combined with the first MIMO configuration yield a highest spectral efficiency.