Constellation Point Probability Adaptation for RF-Impaired Channels
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Solution Overview
Problem
Existing wireless communication systems face inferior performance due to uniform prior probability distributions in constellations, which are affected by radio frequency (RF) impairments such as non-linearities and phase noise, leading to suboptimal communication efficiency.
Innovation Solution
Adaptive determination of constellation point usage probabilities based on measured RF impairments, allowing UEs and network entities to adjust modulation techniques dynamically to match changing RF conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform prior probability distribution is used for constellation points, then implementation is simple, but communication performance deteriorates under RF impairments
Solution Approach 1:
The patent implements dynamic adaptation of prior probabilities by introducing a feedback mechanism where the UE measures RF impairments and reports them to the network entity. The network entity then calculates and configures non-uniform prior probabilities based on the measured impairments, allowing the system to dynamically adjust to changing RF conditions rather than using fixed uniform probabilities.
Solution Approach 2:
The patent changes the probability parameters from uniform to non-uniform distribution based on RF impairment characteristics. Specifically, it calculates prior probabilities for each constellation point using the measured RF impairment parameters (such as phase noise and non-linearity), thereby optimizing the probability distribution to compensate for the identified impairments.
2Reliability
If non-uniform prior probability distribution is used to compensate for RF impairments, then communication performance improves, but system complexity increases
Solution Approach 1:
The UE performs self-measurement of RF impairments and self-reporting of these measurements to the network entity. This self-service approach allows the system to automatically adapt to RF conditions without requiring manual configuration or complex centralized control, reducing the overall system complexity while maintaining performance benefits.
Solution Approach 2:
The patent establishes a feedback loop where the UE measures RF impairments, reports them to the network entity, and the network entity uses this feedback to calculate and configure appropriate prior probabilities. This feedback mechanism enables automatic adaptation without requiring complex pre-planning or manual intervention.
3Productivity
If adaptive prior probabilities are configured based on RF impairment measurements, then communication efficiency improves, but measurement and signaling overhead increases
Solution Approach 1:
The patent performs RF impairment measurements and prior probability configuration in advance before actual data transmission. By measuring impairments and configuring probabilities beforehand, the system prepares the optimal communication parameters ahead of time, minimizing the impact on real-time communication efficiency.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. A request associated with probabilities of respective points of a constellation for communication of a set of data symbols using a channel may be received. The channel may be between a wireless device and a network entity. The probabilities may indicate respective likelihoods of the respective points being used in the communication of the set of data symbols. Signaling may be communicated in accordance with the set of probabilities of the respective points, where the set of probabilities may be adapted to characteristics of radio frequency impairments associated with the channel. The characteristics of the radio frequency impairments may be measured by a wireless device.