Time Sharing Electronic Communication System Crosstalk Optimization
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Solution Overview
Problem
Communication systems with multiple parallel transmissions suffer from crosstalk, leading to reduced data rates in adjacent lines, and existing solutions like Upstream Power Backoff and iterative water filling struggle with real-time power adjustments and complexity as the number of lines increases.
Innovation Solution
A transceiver architecture that computes locally optimal communication configurations, stores them, processes into time-sharing information, and conveys this information to transceivers and remote terminals to enhance communication rates and quality, allowing for dynamic adjustments and optimized power allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple parallel transmissions are bound together to increase data rates, then system throughput is improved, but crosstalk between lines increases reducing individual line rates
Solution Approach 1:
The patent measures crosstalk between lines and uses this harmful interference information to optimize power allocation and scheduling decisions. By incorporating crosstalk measurements into the optimization algorithm, the system converts the previously harmful crosstalk effect into useful information that enables better resource allocation and improved overall system performance.
2Productivity
If transmit power is increased to improve data rate of one link, then that link's rate is improved, but data rates of other links are reduced
Solution Approach 1:
The patent dynamically adjusts transmit power levels across multiple links based on real-time crosstalk measurements and system state. The optimization algorithm modifies power parameters for each link considering the interference it causes to others and the interference it receives, achieving a balanced power allocation that maximizes overall throughput while maintaining individual link performance.
Solution Approach 2:
The system implements dynamic power allocation and scheduling that adapts to changing channel conditions and crosstalk levels. Rather than fixed power levels, the transmit power for each link is continuously adjusted based on current system state, enabling the system to respond to varying interference conditions and optimize performance in real-time.
3Quantity of substance
If the number of communication lines is increased to improve system capacity, then system capacity is improved, but scheduling complexity becomes unmanageable
Solution Approach 1:
The patent divides the complex scheduling problem into manageable components by measuring and categorizing crosstalk between different line pairs. The optimization algorithm processes scheduling decisions for multiple lines by breaking down the overall problem into individual link considerations, each informed by measured crosstalk levels, making the scheduling of large numbers of lines computationally feasible.
4Productivity
If optimization algorithms are used to manage multiple communication lines, then system performance is improved, but real-time power adjustment capability is lost
Solution Approach 1:
The patent performs preliminary measurements of crosstalk between communication lines and pre-computes optimization parameters based on these measurements. By having the optimization algorithm work with pre-measured crosstalk data, the system can rapidly determine optimal power allocations and scheduling decisions without requiring complex real-time calculations, enabling both high performance and fast response to changing conditions.
Data Source
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AI summary
Various embodiments are presented of a time sharing electronic communication system, including a central unit, a crosstalk channel, and communication units such as transceivers and remote terminals. Also presented are various methods for configuring and operating the elements of such a system to enhance communication between communication units within the system. In some embodiments, locally optimal configurations are pre-computed, stored in memory, and processed into time sharing information which is communicated to communication units. The time sharing information allows the communication units to transmit at times and power levels in such a manner as to enhance the communication within the system. In some embodiments, locally optimal configurations are computed, stored, and processing, substantially dynamically, allowing substantially real time adjustment of transmission times and power levels to enhance the communication within the system.