Dynamic Carrier Load Balancing in Wireless Networks
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Solution Overview
Problem
Existing wireless telecommunications networks face inefficiencies due to static carrier prioritization in system information blocks (SIBs), leading to unnecessary resource expenditure and reduced performance when user devices attempt to connect to overloaded carriers before less loaded ones.
Innovation Solution
Implementing a dynamic prioritization of carriers based on real-time analytics information, where SIBs are generated to prioritize carriers with lower loads, allowing user devices to connect through less loaded carriers first, thereby optimizing network resource usage and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static carrier prioritization is used in SIBs, then user devices can connect to carriers in a predetermined order, but network resources are wasted when devices attempt to connect to overloaded carriers before less loaded ones
Solution Approach 1:
The patent applies dynamics by transitioning from static carrier prioritization to dynamic prioritization based on real-time analytics. The SIB engine continuously updates carrier priority information in SIBs according to current network conditions, allowing the system to adapt to changing load states and optimize resource allocation dynamically rather than using fixed predetermined orders
Solution Approach 2:
The patent implements feedback through the SIB engine that receives analytics information about carrier load states and uses this feedback to update prioritization in subsequent SIB transmissions. This closed-loop system allows the network to respond to actual conditions and adjust carrier prioritization based on real-time performance data, preventing devices from wasting resources on overloaded carriers
2Loss of time
If user devices follow a static priority list in SIBs, then connection attempts are straightforward, but connection time increases when high-priority carriers are overloaded
Solution Approach 1:
The system dynamically adjusts carrier priority information in SIBs based on real-time analytics, so the priority list changes according to current network conditions. This allows devices to quickly connect to appropriate carriers without attempting to connect to overloaded ones first, reducing connection time while maintaining process simplicity through automated updates
Solution Approach 2:
The network performs preliminary actions by proactively providing updated priority information in SIBs before devices attempt connections. By pre-adjusting the priority lists based on current load conditions, the system guides devices toward suitable carriers in advance, preventing wasted connection attempts and reducing overall connection time
3Productivity
If dynamic prioritization based on real-time analytics is implemented, then network resource efficiency improves, but system complexity increases due to the SIB engine and analytics processing
Solution Approach 1:
The patent introduces an SIB engine as an intermediary component that handles the complexity of analytics processing and priority determination. This mediator receives analytics information, processes it, and generates updated priority information for SIBs, isolating the complexity from the core network operations and making the system more manageable while maintaining resource efficiency
Solution Approach 2:
The SIB engine serves multiple functions: it receives analytics information, processes carrier load data, determines priority rankings, and generates updated SIB content. By consolidating these diverse functions into a single multi-functional component, the system manages complexity more effectively while achieving improved resource allocation across the network
4Reliability
If carriers are prioritized statically, then SIB generation is simple, but network performance deteriorates under uneven load conditions
Solution Approach 1:
The system transitions from static to dynamic SIB generation that adapts to real-time network conditions. The SIB engine continuously updates priority information based on analytics data, ensuring that SIBs reflect current carrier load states and guide devices toward appropriate carriers, thereby maintaining reliable network performance under varying load conditions
Solution Approach 2:
The patent changes the parameters of SIB generation by incorporating dynamic priority values based on carrier load analytics. Instead of using fixed priority assignments, the system adjusts priority parameters in real-time according to network conditions, allowing SIBs to provide accurate guidance for optimal connection decisions while maintaining generation simplicity through automated processes
Data Source
AI summary
A system may be configured to receive analytics information regarding a cell of a wireless telecommunications network. The cell may be associated with multiple carriers, which may each be associated with, for example, a particular radio access technology (“RAT”), frequency band, or frequency sub-band. The system may dynamically rank the carriers based on measures of load associated with the carriers (as indicated by the analytics information), and may generate system information blocks (“SIBs”) that include the dynamic rankings. The SIBs may be provided to user devices, which may select carriers, via which to connect to the cell, based on the dynamic rankings.