Micro Base Station CSB Optimization for Signaling Overhead Reduction
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Solution Overview
Problem
Current communications network optimization methods require frequent adjustments to Cell Selection Bias (CSB) and Almost Blank Subframe (ABS) values across a network-wide range, leading to high signaling overheads and impacting service performance due to dynamic changes in terminal loads and network hotspots/hole areas.
Innovation Solution
A micro base station determines and updates its optimized CSB value based on capacity and coverage, allowing for timely adjustments without network controller intervention, and a network controller optimizes ABS values for macro base stations to improve network performance by considering hotspot and hole locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the network controller adjusts ABS and CSB values frequently across the network to adapt to dynamic changes, then the network optimization effectiveness is improved, but the signaling overhead increases
Solution Approach 1:
The patent divides the network into autonomous domains where each base station independently optimizes its own CSB value based on local conditions, rather than having the network controller centrally manage all adjustments. This segmentation reduces signaling overhead while maintaining adaptability through distributed decision-making
Solution Approach 2:
Each base station autonomously determines and adjusts its own CSB value based on locally observed network conditions such as terminal loads and hotspot locations. This self-service mechanism eliminates the need for frequent centralized signaling while enabling rapid local adaptation to changing conditions
2Ease of operation
If the network controller uses one time granularity for adjusting ABS and CSB values, then the control simplicity is maintained, but the response time to dynamic network changes increases
Solution Approach 1:
The patent enables dynamic adjustment of CSB values at each base station with flexible timing, allowing different base stations to adjust at different rates based on their local conditions. This dynamic approach replaces the static uniform time granularity while maintaining operational simplicity through autonomous local decisions
3Adaptability or versatility
If micro base stations adjust CSB values at smaller intervals, then the adaptability to hotspot changes is improved, but the signaling overhead increases
Solution Approach 1:
Micro base stations autonomously adjust their CSB values at optimized intervals based on local hotspot dynamics without requiring centralized coordination. This self-service mechanism enables frequent local adjustments while avoiding the signaling overhead that would result from centralized control of each adjustment
Data Source
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AI summary
Embodiments of the present invention provide a communications network optimization processing method and a device. The method includes: determining, by a micro base station, an optimized cell selection bias CSB value according to a capacity and coverage of the micro base station; updating, by the micro base station, a current CSB value of the micro base station to the optimized CSB value; and sending, by the micro base station, the optimized CSB value of the micro base station to at least one terminal. According to the method and apparatus, a CSB value adjustment frequency does not need to be remained the same as an ABS value adjustment frequency, and a first network element can adjust a CSB value at a relatively small time interval to optimize a dynamically changed communications network in a timely way, avoiding enormous signaling overheads.