Autonomous CQI Prediction via In-Band Out-of-Band Cross-Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems, such as LTE and IEEE 802.11, require frequent channel quality feedback from receivers to transmitters, which is inefficient and consumes significant over-the-air resources, especially in MIMO environments where multiple antennas and complex channel estimation are used.
Innovation Solution
The system predicts channel quality information (CQI) autonomously at the transmitter using cross-correlation between in-band and out-of-band channels, eliminating the need for dedicated feedback channels by pre-computing correlation coefficients based on known channel models and using them to estimate instantaneous and average CQI.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent channel quality feedback is implemented from receiver to transmitter, then transmission reliability is improved, but over-the-air resource consumption increases
Solution Approach 1:
The patent inverts the traditional feedback direction by having the transmitter autonomously predict channel quality information instead of the receiver feeding back CQI. The transmitter uses received pilot signals and pre-computed cross-correlation coefficients to predict out-of-band CQI, eliminating the need for dedicated feedback channels while maintaining transmission reliability
Solution Approach 2:
The transmitter serves itself by autonomously generating channel quality information predictions without external feedback. The system uses its own received pilot signals combined with pre-stored correlation coefficients to self-determine the channel conditions, eliminating dependency on receiver feedback
2Productivity
If autonomous CQI prediction at transmitter is implemented, then spectral efficiency is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing cross-correlation coefficients between in-band and out-of-band channels before actual transmission. These pre-computed coefficients are stored in the transmitter and used during operation to quickly predict CQI without requiring complex real-time calculations, thus improving spectral efficiency while limiting complexity increase
Solution Approach 2:
The system dynamically adapts by using pre-computed correlation coefficients that can be updated based on channel conditions. The transmitter dynamically selects appropriate correlation coefficients from stored tables based on the specific out-of-band frequencies being predicted, allowing flexible adaptation without permanent complexity increases
Data Source
AI summary
Data characterizing a first signal transmitted in an orthogonal frequency-division multiplexing (OFDM) system by a transmitter with one or more transmit antennas through an in-band channel and received by a receiver with a plurality of receive antennas can be received. The first signal can include one or more in-band pilot pulses. A channel quality for an out-of-band channel can be predicted based on the received data and a cross-correlation between an in-band channel and one or more out-of-band channels. Data characterizing the predicted channel quality for the out-of-band channel can be provided. Related apparatus, systems, techniques, and articles are also described.