Network Node Interference Prediction for 5G Scheduling

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Solution Overview

Problem

Intra-frequency interference in wireless communication systems, particularly in 5G networks, significantly impacts the reception performance due to the use of the same frequency by base stations, leading to reduced throughput and inability of UEs at cell edges to utilize high-bandwidth services effectively.

Innovation Solution

A method involving a network node that predicts interference information, divides the cell into interference measurement areas, determines scheduling priorities for user equipment (UEs) based on predicted interference and location, and schedules UEs accordingly to minimize interference effects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If base stations use the same frequency for network connections, then network coverage and connectivity are improved, but intra-frequency interference increases and reception performance deteriorates

Engineering Contradiction:

Improvenetwork connectivityVSAvoidintra-frequency interference

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The cell is divided into multiple interference measurement areas based on location information of user equipment. Each area experiences different interference levels, allowing the system to segment the cell for targeted interference management rather than treating the entire cell uniformly

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different scheduling priorities are assigned to user equipment in different interference measurement areas based on their specific interference conditions and locations. This local differentiation allows UEs in high-interference areas to receive enhanced scheduling treatment while UEs in low-interference areas maintain normal scheduling

Inventive Principle:

Principle #3Local quality

2Productivity

If cell radius is reduced and base stations are denser in 5G networks, then network capacity and service quality are improved, but intra-frequency interference becomes more prominent

Engineering Contradiction:

Improvenetwork capacityVSAvoidintra-frequency interference

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The network node predicts future interference information before scheduling decisions are made. By anticipating interference patterns in advance, the system can proactively adjust scheduling priorities to avoid high-interference periods, rather than reacting to interference after it occurs

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously measures interference levels in different areas and uses this feedback to dynamically adjust scheduling priorities. The scheduling decisions are based on real-time interference measurements and predictions, creating a closed-loop control system that adapts to changing interference conditions

Inventive Principle:

Principle #23Feedback

3Productivity

If dynamic scheduling priority adjustment is implemented, then throughput and reception performance are improved, but system complexity and computational requirements increase

Engineering Contradiction:

ImprovethroughputVSAvoidscheduling system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes scheduling priority parameters dynamically based on predicted interference information and UE locations. By adjusting these parameters adaptively, the system optimizes throughput without requiring complete redesign of the scheduling architecture

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20240205958A1Method performed by network node and network node

Publication Date: 2024.06.20 SAMSUNG ELECTRONICS CO LTD

AI summary

A method performed by a network node and a network node is provided. The method includes obtaining interference information for a current cell, the interference information for indicating interference levels at time units of a next period in each interference measurement area of a plurality of interference measurement areas of the current cell, obtaining scheduling priorities of user equipments (UEs) at the time units of the next period according to the interference information and locations of the UEs in the current cell, and performing a scheduling of the UEs in the current cell according to the scheduling priorities.