Joint Precoding and Probabilistic Constellation Shaping for Channel Efficiency
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Solution Overview
Problem
Existing communication technologies struggle to optimize the efficiency of practical, non-ideal communication channels by maximizing information transfer while minimizing signal power.
Innovation Solution
The implementation of joint precoding and probabilistic constellation shaping, which involves determining a joint probability distribution of symbols that reduces signal power while maintaining an information rate greater than a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional channel coding with discrete constellation schemes is used, then implementation simplicity is maintained, but channel efficiency and information transfer optimization are insufficient
Solution Approach 1:
The patent combines precoding and probabilistic constellation shaping into a unified joint optimization framework. The transmitter determines a joint probability distribution that simultaneously optimizes precoding coefficients and constellation point probabilities, merging two previously separate functions into one integrated system that achieves better channel efficiency without proportional increases in complexity
Solution Approach 2:
The system changes the probability distribution parameters of constellation points from uniform to non-uniform distributions. By optimizing the joint probability distribution of transmitted symbols, the system adapts parameter values to maximize channel capacity while managing complexity through efficient algorithms
2Use of energy by moving object
If signal power is reduced to minimize energy consumption, then power efficiency improves, but information transfer rate may fall below required thresholds
Solution Approach 1:
The system optimizes the joint probability distribution parameters to find the optimal balance between signal power and information rate. By adjusting the probability assignments of different constellation points, the system reduces average transmit power while maintaining the information rate above required thresholds through intelligent resource allocation
Solution Approach 2:
The system applies partial power allocation to different constellation points based on their probability assignments. Rather than using uniform power, it allocates power partially to different symbols according to their optimized probabilities, achieving energy efficiency while maintaining sufficient information transfer through the most probable high-efficiency symbols
Data Source
AI summary
Aspects of the subject disclosure may include, for example, identifying a modulation scheme for transmitting data from a transmitter to a receiver, identifying a plurality of symbols associated with the modulation scheme, determining that a transfer function of a filter that is applied at the transmitter imposes an interdependence amongst at least two symbols of the plurality of symbols, determining, based on the transfer function, a joint probability distribution of the plurality of symbols that reduces a signal power of at least one signal that is used to transmit the data subject to a constraint that an information rate associated with the at least one signal is greater than a threshold, and causing the data to be transmitted via the at least one signal from the transmitter to the receiver in accordance with the joint probability distribution. Other aspects are disclosed.