Dynamic MIMO Layer Reduction Criteria for Wireless Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing multiple-input multiple-output (MIMO) layers at network nodes, leading to potential power consumption issues and suboptimal resource utilization.
Innovation Solution
The implementation of layer reduction criteria at network nodes, which dynamically adjust the number of MIMO layers based on parameters such as pending traffic, channel conditions, and power savings gains, to optimize energy efficiency and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the maximum number of MIMO layers is configured for high data rates, then network performance is improved, but power consumption at wireless devices increases
Solution Approach 1:
The patent implements dynamic layer reduction criteria that allow the network to adjust the number of MIMO layers based on real-time conditions. The network node determines whether to reduce layers by evaluating multiple criteria including channel conditions, traffic requirements, and device capabilities, enabling adaptive optimization between performance and power consumption rather than using fixed maximum layers
Solution Approach 2:
The patent changes the parameter of MIMO layer configuration from static maximum values to dynamically adjusted values based on evaluated criteria. By modifying the number of active layers according to current network conditions and device state, the system optimizes the balance between achieving high data rates and minimizing power consumption at the wireless device
2Productivity
If more MIMO layers are used, then data transmission capacity is improved, but resource utilization at network nodes becomes suboptimal
Solution Approach 1:
The patent applies partial action by using fewer than the maximum available MIMO layers when channel conditions or traffic requirements do not justify full-layer operation. The layer reduction criteria enable the network to use only the necessary number of layers for current transmission needs, avoiding the waste of network resources that occurs when maximum layers are always configured
Solution Approach 2:
The system dynamically adjusts the number of MIMO layers based on real-time evaluation of channel conditions, traffic requirements, and device capabilities. This dynamic adaptation allows the network to optimize resource utilization by activating only the number of layers currently needed for effective transmission, rather than maintaining fixed maximum layer configurations
Data Source
AI summary
Methods and apparatuses are disclosed for layer reduction criteria. In one embodiment, a network node is configured to determine a number of multiple-input multiple-output, MIMO, layers for a wireless device, WD, the determined number of MIMO layers being adjusted as compared to a maximum number of MIMO layers for the wireless device based at least in part on at least one parameter associated with at least one of the wireless device and the network node; and signal an indication of the determined number of MIMO layers to the wireless device. In one embodiment, a wireless device is configured to receive an indication of a number of multiple-input multiple-output, MIMO, layers, the indicated number of MIMO layers being adjusted as compared to a maximum number of MIMO layers for the wireless device based at least in part on at least one parameter associated with at least one of the wireless device and a network node.