Dynamic Capacity Variable Transmission System for Spare Line Utilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional digital transmission systems with regular and spare lines are not fully utilized, as they operate at a fixed, guaranteed transmission capacity, leading to inefficiency in transmitting large amounts of information, with the spare line being underutilized and only used during failures or extreme conditions.
Innovation Solution
Implementing a capacity variable transmission system that monitors operational information of both regular and spare lines, allowing for dynamic switching and distribution of transmission capacity to maximize overall system efficiency, enabling transmission at capacities exceeding the guaranteed level during normal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed guaranteed transmission capacity is used to ensure quality under extreme bad conditions, then reliability is improved, but productivity deteriorates because the system is not fully utilized during normal conditions
Solution Approach 1:
The patent implements dynamic capacity allocation where the spare line's transmission capacity is not fixed but can be dynamically adjusted and shared with regular lines based on real-time operational conditions. The judging circuit continuously monitors line states and dynamically switches capacity allocation, allowing the system to adapt between reliability-focused mode (when failures occur) and productivity-focused mode (during normal operations).
Solution Approach 2:
The system changes the operational parameters of the transmission lines by varying the transmission capacity allocation between regular and spare lines based on monitored conditions. The judging circuit detects line states and adjusts the capacity parameters dynamically, transforming the static guaranteed capacity into a variable parameter that optimizes both reliability and productivity under different operating conditions.
2Reliability
If a spare line is allocated for failure recovery, then reliability is improved, but productivity deteriorates because the spare line frequency of use is low and the system is not efficient
Solution Approach 1:
The spare line is designed to serve multiple functions: it acts as a backup for failure recovery (traditional function) and simultaneously serves as an additional transmission resource during normal operations (new function). The judging circuit intelligently routes traffic to utilize the spare line's capacity for transmitting extra data during normal conditions, making the spare line universally useful for both reliability and productivity goals.
Solution Approach 2:
The transmission system automatically monitors its own operational state through the judging circuit and self-adjusts capacity allocation without external intervention. The system serves itself by detecting when the spare line should be used for backup purposes versus when it should be utilized for additional data transmission, optimizing resource allocation autonomously based on real-time conditions.
3Productivity
If the transmission capacity is increased beyond guaranteed capacity during good states, then productivity is improved, but reliability deteriorates because the system cannot ensure quality under extreme bad conditions
Solution Approach 1:
The system dynamically adjusts transmission capacity based on real-time monitoring of line conditions. During good propagation states, the system increases capacity utilization by allocating spare line resources to regular lines. When bad conditions are detected, the system automatically reduces capacity allocation to ensure quality guarantees, creating a dynamic balance between productivity and reliability that adapts to changing environmental conditions.
Solution Approach 2:
The judging circuit provides continuous feedback about the operational state of transmission lines, including propagation conditions and signal quality metrics. This feedback loop enables the system to make informed decisions about capacity allocation, increasing productivity when conditions permit while maintaining reliability guarantees when conditions deteriorate, based on real-time system state information.
Data Source
AI summary
A transmission capacity of a transmitter is controlled by a signal input from a receiver through a propagation path. The receiver produces a control signal for controlling a system at the optimum transmission capacity which is obtained from monitored information such as transmission quality or reception C/N and the like, and outputs the control signal to the transmitter and a judging circuit. The judging circuit compares the transmission capacity of each line. When the transmission capacity of a first regular line is the lowest transmission capacity, a switching signal is output from the judging circuit. Then a transmission switching device and a reception switching device operate and the input signal on the first regular line is output through the spare line. The transmission capacity of the signal is that of the spare line.