Dynamic SSB Beam Configuration Optimization
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Solution Overview
Problem
Current cell site synchronization signal block (SSB) beam configurations are typically static, leading to suboptimal network coverage due to inadequate consideration of side lobe and back lobe antenna gain, which can degrade signal-to-interference-plus-noise ratio (SINR) and overall network efficiency.
Innovation Solution
A method to dynamically modify the SSB beam configuration based on monitored network efficiency parameters such as SINR, throughput, and historical user device connections, allowing selection from various beam configurations to optimize side lobe and back lobe antenna gain, thereby reducing interference with adjacent cell sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static SSB beam configuration is used, then device complexity is reduced, but network efficiency and SINR are degraded due to inadequate consideration of side lobe and back lobe antenna gain
Solution Approach 1:
The patent applies dynamics by transitioning from a static SSB beam configuration to a dynamic one where the beam configuration can be modified based on monitored network efficiency parameters. The system dynamically adjusts the number and arrangement of beams (e.g., changing from 2 beams to 4 beams, or from 4 beams to 6 beams) according to real-time conditions such as SINR and throughput, allowing the configuration to adapt to varying network demands and interference conditions.
Solution Approach 2:
The patent implements parameter changes by modifying key configuration parameters of the SSB beam structure, including the number of beams, beam spacing, and beam directions. These parameter changes are driven by monitored network efficiency metrics, enabling the system to optimize antenna gain distribution and reduce side lobe and back lobe interference through systematic parameter adjustment.
2Reliability
If the SSB beam configuration is dynamically modified to optimize SINR, then signal-to-interference-plus-noise ratio is improved, but system complexity increases
Solution Approach 1:
The patent implements feedback by continuously monitoring network efficiency parameters such as SINR and throughput, then using this feedback information to determine appropriate SSB beam configuration adjustments. The system establishes a closed-loop control mechanism where performance metrics feed into configuration decisions, enabling automatic optimization of beam arrangements based on actual network conditions without requiring manual intervention.
Solution Approach 2:
The system applies self-service by autonomously monitoring its own performance metrics and automatically adjusting its beam configuration without external control. The cell site or network manager independently evaluates its SINR and throughput conditions, selects optimal beam configurations from predefined options, and implements changes based on its own performance assessment, reducing the need for external network management intervention.
3Area of stationary object
If more beams are used in SSB configuration, then network coverage is improved, but interference with adjacent cell sites increases due to side lobe and back lobe gain
Solution Approach 1:
The patent applies local quality by optimizing the antenna gain distribution across different spatial regions. Through careful selection of beam configurations (e.g., specific beam directions and spacing), the system enhances main lobe coverage in desired directions while suppressing side lobe and back lobe radiation in directions that would cause interference with adjacent cell sites, creating non-uniform but optimized gain patterns.
Solution Approach 2:
The system implements asymmetry by using asymmetric beam arrangements and directional gain patterns rather than uniform omnidirectional coverage. Different beam configurations provide asymmetric coverage patterns that are optimized for specific deployment scenarios, allowing the system to achieve better coverage in certain directions while intentionally reducing radiation in directions where adjacent cells operate, thereby minimizing mutual interference.
Data Source
AI summary
Methods are provided for dynamically modifying an SSB beam configuration. SINR and/or other network efficiency parameters are monitored at a cell site. It is determined that the SINR or other network efficiency parameter is lower than a threshold value. The current SSB beam configuration of the cell site is compared with other potential SSB beam configurations. Based on the comparing, an SSB beam configuration is compared with an optimal side lobe antenna gain and back lobe antenna gain to avoid interference with adjacent cell sites. In response to the identifying, the SSB beam configuration at the cell site is dynamically modified.