Neural Network Channel State Information Feedback Bit Selection
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in channel state information feedback, leading to communication errors and reduced spectrum efficiency due to large payload sizes and sudden changes in uplink channel conditions, which consume significant computing, communication, and power resources.
Innovation Solution
A method involving a neural network-based approach where a device receives an indication to use a first number of bits for channel state information feedback and adapts to use a second number of bits, prioritizing important bits or reducing payload size based on resource allocation and channel conditions, allowing for efficient transmission and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of bits is used to report channel state information feedback, then measurement precision is improved, but loss of energy increases due to larger payload sizes and more transmission resources
Solution Approach 1:
The patent extracts only the most important bits from the channel state information feedback payload based on prioritization rules. Instead of transmitting all bits, the system identifies and transmits only the critical subset of bits that contribute most to feedback accuracy, thereby reducing payload size and energy consumption while maintaining essential measurement precision
Solution Approach 2:
The patent dynamically changes the number of transmitted bits based on uplink channel conditions. When channel conditions are good, more bits are transmitted for higher precision; when conditions deteriorate, fewer bits are transmitted to conserve energy. This adaptive parameter adjustment resolves the contradiction between precision and energy consumption
2Measurement precision
If a large payload size is used for channel state information feedback, then measurement precision is improved, but productivity decreases due to increased computing and communication resources required
Solution Approach 1:
The patent extracts and transmits only the essential subset of feedback bits rather than the complete payload. By removing redundant or less critical bits, the system reduces computing and communication resources required for processing while maintaining the precision necessary for effective channel state information feedback
Solution Approach 2:
The patent applies partial action by transmitting only the necessary portion of the feedback payload rather than the complete set of bits. This partial transmission approach achieves sufficient measurement precision without the excessive resource consumption associated with transmitting the full payload, thereby improving system productivity
3Device complexity
If the number of bits for feedback is fixed, then device complexity is reduced, but adaptability decreases when uplink channel conditions change suddenly
Solution Approach 1:
The patent implements dynamic bit selection where the number of transmitted bits adapts to current uplink channel conditions. The system monitors channel quality and adjusts the payload size accordingly, allowing flexible adaptation to changing conditions without requiring complex reconfiguration. This dynamic approach maintains simplicity while significantly improving adaptability
4Reliability
If full channel state information feedback is transmitted, then reliability is improved, but loss of energy increases due to frequent transmissions and large payload sizes
Solution Approach 1:
The patent extracts and transmits only the critical subset of feedback bits necessary to maintain communication reliability. By removing redundant information and transmitting only the essential bits, the system reduces the frequency and energy cost of transmissions while preserving the reliability needed for effective communication
Solution Approach 2:
The patent applies partial action by transmitting only the necessary portion of feedback information required to maintain reliability. This partial transmission approach avoids the excessive energy consumption associated with transmitting complete feedback payloads at every opportunity, achieving reliability with reduced energy loss
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may receive an indication to use a first number of bits to report neural network based channel state information feedback (CSF). The first device may transmit, using a second number of bits that is different from the first number of bits, a report that indicates the CSF to a second device. Numerous other aspects are provided.