Signal Transfer Control for Mobile Fronthaul Delay
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Solution Overview
Problem
In mobile fronthaul (MFH) systems, the cycle for delay fluctuation is shorter than conventional cycles, requiring average traffic values to be set small to avoid variable delay, which reduces network efficiency and cannot detect or handle short-cycle variable delays.
Innovation Solution
A signal transfer control apparatus that acquires fixed and traffic information, estimates probability density functions and occurrence probabilities of variable delay, and calculates optimal communication paths to minimize delay, allowing for efficient switching of signal transfer destinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the average traffic value is set small to avoid variable delay in short cycles, then delay stability is improved, but network efficiency deteriorates
Solution Approach 1:
The system performs preliminary estimation of probability density functions and occurrence probabilities of variable delay before making path switching decisions. By predicting delay characteristics in advance based on traffic information, the system can proactively select optimal communication paths that satisfy delay requirements while maintaining high traffic volumes, rather than reactively reducing traffic to avoid delays
Solution Approach 2:
The system changes the parameter of traffic volume from a conservative small value to a higher value by using probabilistic delay estimation. By calculating occurrence probabilities of variable delay and comparing them with threshold values, the system determines appropriate traffic volumes that satisfy delay conditions, thereby improving network efficiency while maintaining delay stability
2Device complexity
If conventional delay detection methods are used, then system complexity is reduced, but the ability to detect and handle short-cycle variable delays deteriorates
Solution Approach 1:
The system dynamically adapts its delay detection and control mechanism by introducing probabilistic estimation that operates effectively at short cycles. The probability density function estimation and occurrence probability calculation enable the system to capture short-cycle delay fluctuations that conventional methods miss, achieving high measurement precision without requiring overly complex detection infrastructure
Solution Approach 2:
The system implements feedback through continuous monitoring of traffic information and probabilistic delay estimation. By comparing estimated occurrence probabilities with threshold values and adjusting path switching decisions accordingly, the system creates a closed-loop control mechanism that accurately detects and responds to short-cycle variable delays while maintaining manageable system complexity
3Loss of time
If multiple communication paths are switched dynamically, then delay performance is improved, but control complexity increases
Solution Approach 1:
The system performs preliminary calculations of probability density functions and occurrence probabilities for multiple communication paths before switching. By pre-evaluating delay characteristics and comparing occurrence probabilities against thresholds, the system simplifies the switching decision process to a straightforward comparison and selection, reducing control complexity while achieving optimal delay performance
Solution Approach 2:
The system uses parameter changes in the form of occurrence probability thresholds to simplify path selection. By converting complex delay predictions into comparable probability values and using threshold-based decision rules, the system manages control complexity effectively while dynamically optimizing for minimum delay across multiple communication paths
Data Source
AI summary
A signal transfer control apparatus that performs a control operation to switch a plurality of communication paths constituted by a plurality of signal transfer apparatuses transferring a signal includes: a fixed delay information acquisition unit that acquires fixed delay information for each of the plurality of communication paths; a traffic information acquisition unit that acquires traffic information indicating a traffic volume or each of the plurality of communication paths; a probability density function estimation unit that estimates a probability density function of a traffic volume of each of the plurality of communication paths based on the traffic information; an occurrence probability estimation unit that estimates an occurrence probability of variable delay in each of the plurality of communication paths based on the probability density function of each of the plurality of communication paths; a communication path calculation unit that performs a calculation for specifying a communication path which is highly likely to satisfy a predetermined delay condition based on the occurrence probability of the variable delay in each of the plurality of communication paths and the fixed delay information for each of the plurality of communication paths; and a setting instruction unit that outputs a setting instruction for switching a transfer destination of a signal to at least any one of the signal transfer apparatuses so that the signal is transferred via the communication path specified by the calculation performed by the communication path calculation unit.