Block Capacity Equalization in Communication Modulators
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Solution Overview
Problem
Existing communication systems face issues with variance in block capacity and power distribution, leading to poor performance in bit and block error ratios, with excess power being wasted due to uneven capacity across blocks, and lack of techniques to equalize individual symbol and block capacities.
Innovation Solution
The method involves computing the capacities of all modulation symbols and bits, and adjusting the power of blocks at the modulator site to equalize them to the average or targeted capacity, thereby improving performance and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the power of blocks is increased to improve the capacity of blocks with small capacity, then the bit error ratio and block error ratio performance is improved, but the power consumption increases and excess power is wasted in blocks with large capacity
Solution Approach 1:
The patent applies local quality by differentiating power allocation across individual blocks based on their specific capacity characteristics. Each block receives a customized power level tailored to its symbol distribution and capacity needs, rather than applying a uniform power level to all blocks. This resolves the contradiction by ensuring that blocks with small capacity receive increased power to improve reliability, while blocks with large capacity receive reduced power to eliminate waste, with each block's power level locally optimized to its specific requirements.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the power parameter for each block based on calculated capacity metrics. The system computes the capacity of each block based on its symbol distribution, then modifies the power parameter accordingly to equalize capacities. This resolves the contradiction by transforming the fixed power allocation into a variable parameter that adapts to each block's specific capacity characteristics, improving reliability where needed while reducing power waste where capacity is already sufficient.
2Device complexity
If the average modulation capacity is computed for theoretically infinite length blocks, then the overall system design is simplified, but the actual block capacity varies significantly around the average capacity leading to performance degradation
Solution Approach 1:
The patent applies segmentation by dividing the overall system into individual block-level units, each with its own capacity calculation and power allocation. Instead of treating all blocks as a single average entity, the system segments the analysis to evaluate each block's symbol distribution and capacity independently. This resolves the contradiction by maintaining the simplicity of average capacity calculations while adding granular block-level segmentation to address actual performance variations, thereby improving reliability without excessive complexity.
Solution Approach 2:
The patent implements preliminary action by calculating the capacity of each block before transmission and adjusting power levels in advance. The system computes the capacity distribution of symbols within each block beforehand, determines the required power equalization, and applies the appropriate power level before the block is transmitted. This resolves the contradiction by performing capacity evaluation and power optimization in advance, allowing the system to maintain simple average capacity design while ensuring each individual block has sufficient capacity for reliable transmission.
3Ease of operation
If uniform power is allocated to all blocks, then the system operation is simplified, but blocks with small capacity have poor performance and blocks with large capacity waste power
Solution Approach 1:
The patent applies dynamics by transitioning from static uniform power allocation to dynamic power allocation that adapts to each block's specific characteristics. The system calculates the capacity of each block based on its symbol distribution and dynamically adjusts the power level accordingly. This resolves the contradiction by making the power allocation flexible and adaptive rather than fixed, allowing the system to maintain operational simplicity through automated calculations while achieving optimal power distribution that improves reliability and eliminates waste.
Solution Approach 2:
The patent implements feedback by using the calculated block capacity information to guide power allocation decisions. The system computes the capacity of each block based on its symbol distribution, compares it to the target capacity, and uses this feedback to determine the appropriate power adjustment. This resolves the contradiction by creating a closed-loop system where capacity measurements feed back into power allocation decisions, maintaining operational simplicity through automated feedback-based adjustment while achieving the reliability and efficiency benefits of customized power allocation.
Data Source
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AI summary
Method for Block Capacity Equalization and Optimization A method for equalizing the capacity of blocks to increase performance and decrease wasted power of a communication system is disclosed. The method equalizes the capacity of the blocks by increasing the power of the blocks which have smaller capacity than the average capacity and decreases the power of the blocks which have larger capacity than the average capacity.