NB-IoT Self-Optimization Reporting Across Base Stations
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Solution Overview
Problem
The procedures of self-organization network in Long Term Evolution (LTE) networks are not directly applicable to Narrowband Internet of Things (NB-IoT) networks, necessitating a method for self-optimization network information transmission in NB-IoT systems.
Innovation Solution
A self-optimization network information transmission method for user equipment and base stations in NB-IoT systems, involving configurations for transmitting and receiving self-optimization network information after receiving parameters from another base station or after a specific period, utilizing various communication protocols such as RRC, MO-EDT, and MT-EDT.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If self-organization network procedures from LTE network are directly applied to NB-IoT network, then network optimization capability is maintained, but compatibility and adaptability issues arise due to architectural differences
Solution Approach 1:
The patent segments the self-organization network procedures into distinct components: measurement configuration, measurement execution, and result reporting. Each component is independently configured and executed, allowing adaptation to NB-IoT's specific architectural constraints while maintaining the overall optimization functionality.
Solution Approach 2:
The patent modifies key parameters of the self-organization procedures to suit NB-IoT: changing measurement objects from LTE-specific to NB-IoT compatible, adjusting reporting triggers based on NB-IoT power constraints, and modifying configuration messages to match NB-IoT protocol structures. This allows the same optimization logic to function across different network types.
2Measurement precision
If user equipment continuously reports network information to primary base station, then network optimization accuracy is improved, but signaling overhead and energy consumption increase
Solution Approach 1:
The patent implements periodic reporting where user equipment measures secondary base stations at configured intervals and reports only when changes exceed thresholds. This periodic measurement and selective reporting reduces energy consumption compared to continuous reporting while maintaining sufficient optimization accuracy through timely detection of network changes.
Solution Approach 2:
The patent establishes a feedback mechanism where the primary base station receives measurement results from user equipment and sends optimized configuration parameters back. This closed-loop feedback ensures high optimization accuracy by continuously adapting to network conditions while allowing the system to operate at lower power levels between feedback cycles.
3Productivity
If user equipment measures secondary base station upon primary base station request, then network optimization responsiveness is improved, but measurement overhead and processing time increase
Solution Approach 1:
The patent implements preliminary measurement configuration where the primary base station pre-configures user equipment with measurement parameters, object lists, and reporting criteria before actual measurements are needed. This preliminary setup reduces measurement overhead by having everything prepared in advance, allowing rapid execution when optimization is triggered while maintaining high responsiveness to network changes.
Data Source
AI summary
The present application relates to NB-IoT system and a self-optimization network information transmission method thereof. The NB-IoT system includes a base station and a user equipment. The base station transmits a configuration to the user equipment. The user equipment transmits a self-optimization network information to the base station based on the configuration. The configuration is for the user equipment to transmit the self-optimization network information as one of: transmitting the self-optimization network information to the base station after receiving a self-optimization network parameter from another base station; and transmitting the self-optimization network information to the base station after a specific period.