Primary Component Carrier Control via Sector Centrality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless access nodes do not efficiently serve wireless user equipment (UEs) over Primary Component Carriers (PCCs) and Secondary Component Carriers (SCCs, and they fail to effectively select radio frequencies for optimal communication.
Innovation Solution
The wireless access node determines sector centrality and selects radio frequency bands based on received signal strengths, Multiple Input Multiple Output (MIMO) layers, UE centrality angles, available sector proportions, and electrical down-tilt angles to optimize the selection of radio frequencies for PCCs and SCCs, ensuring efficient data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the wireless access node uses multiple radio frequency bands simultaneously for PCC and SCC, then the data transmission capacity is improved, but the complexity of frequency selection and resource management increases
Solution Approach 1:
The patent changes the parameter of frequency band selection by introducing multiple criteria (sector centrality, signal strength, MIMO layers, UE centrality angle, available sector proportion, electrical down-tilt angle) instead of using a single parameter. This allows the system to optimize data transmission capacity across multiple frequency bands while systematically managing the complexity through defined selection metrics.
2Ease of operation
If the wireless access node selects radio frequency based on strongest signal only, then the selection process is simple, but the communication efficiency and coverage are insufficient
Solution Approach 1:
The patent transitions from a single-parameter selection (strongest signal) to a multi-parameter selection process that includes sector centrality, signal strength, MIMO layers, UE centrality angle, available sector proportion, and electrical down-tilt angle. This resolves the contradiction by maintaining operational simplicity through systematic criteria while significantly improving communication efficiency through comprehensive optimization.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring multiple parameters (signal strength, sector centrality, MIMO layers, UE centrality angle, available sector proportion, electrical down-tilt angle) and using this feedback to dynamically optimize frequency band selection. This ensures both simplicity through automated decision-making and improved communication efficiency through data-driven selections.
3Area of stationary object
If the wireless access node serves UEs at the edge of network sector, then the coverage area is improved, but the signal quality and connection stability deteriorate
Solution Approach 1:
The patent addresses edge-of-sector coverage by introducing sector centrality and UE centrality angle as key parameters in the frequency selection process. By considering these parameters alongside signal strength and other metrics, the system can identify optimal frequency bands that maintain connection stability for edge users, thus expanding effective coverage area without sacrificing reliability.
Data Source
AI summary
A wireless communication device is located in a wireless network sector. A wireless access node determines sector centrality for the wireless communication device wherein the sector centrality comprises an angle between a central line that bisects the wireless network sector and a device line that is toward the wireless communication device. The wireless access node selects one or more radio frequency bands for the wireless communication device based on the sector centrality for the wireless communication device. The wireless access node wirelessly exchanges data with the wireless communication device over the selected one or more radio frequency bands.