Dynamic NB-IoT Carrier Deployment for LTE Interference Management
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Solution Overview
Problem
Wireless communication networks face challenges in efficiently deploying and managing narrow bandwidth channels for IoT devices, particularly in coexisting with LTE channels, due to congestion and interference issues.
Innovation Solution
A decision engine dynamically adds or removes NB-IoT carriers based on traffic load thresholds, deploying them as in-band, guard-band, or standalone carriers within the LTE frequency band to optimize network capacity and minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If NB-IoT carriers are deployed within LTE frequency bands, then network capacity for IoT devices is improved, but interference and capacity reduction in LTE channels occurs
Solution Approach 1:
The patent segments the NB-IoT carrier deployment into three distinct options: in-band carriers (deployed within LTE bandwidth), guard-band carriers (deployed in guard bands adjacent to LTE), and standalone carriers (deployed in separate frequency bands). This segmentation allows the system to choose the appropriate deployment mode based on traffic conditions, thereby managing the trade-off between IoT capacity and LTE interference.
Solution Approach 2:
The patent implements dynamic carrier deployment where the decision engine continuously monitors LTE traffic load and adjusts NB-IoT carrier deployment accordingly. When LTE traffic is below thresholds, in-band carriers are deployed to maximize IoT capacity; when traffic increases, the system transitions to guard-band or standalone carriers to reduce LTE interference. This dynamic adjustment resolves the contradiction by making the deployment strategy adaptive to changing conditions.
2Productivity
If NB-IoT carriers are dynamically added based on traffic load, then network resource efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically monitors LTE traffic load, evaluates carrier deployment options, and executes deployment decisions without manual intervention. The decision engine autonomously adjusts NB-IoT carrier configuration based on pre-defined traffic thresholds, eliminating the need for complex manual configuration and reducing operational complexity while maintaining high resource efficiency.
Solution Approach 2:
The patent employs feedback mechanisms where the decision engine continuously monitors LTE traffic load and uses this information to dynamically adjust NB-IoT carrier deployment. The system receives feedback about network conditions and automatically modifies carrier configuration in response, creating a closed-loop control system that simplifies management while optimizing resource utilization.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a device providing network communications services to user devices using a frequency band and to machine-to-machine (M2M) communication devices in the Internet of Things (IoT). The device monitors traffic loads in the frequency band due to the user devices and due to the M2M communication devices. Depending on the traffic loads, the M2M communication devices use a narrowband carrier within the frequency band, within the adjacent guard band, or separate from the frequency band and guard band as a standalone carrier. The narrowband M2M carriers are dynamically deployed to support the user devices and IoT devices. Other embodiments are disclosed.