Channel Estimation Buffer Compression via Decimation
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Solution Overview
Problem
The increasing number of component carriers and antennas in communication systems leads to a significant increase in channel estimation buffer size, occupying a substantial portion of integrated circuits, which existing technologies have not effectively addressed.
Innovation Solution
A method involving a receiver and processor that compresses channel estimates by decimating a subset of the estimates, generating predicted channel estimates, computing and compressing errors, and approximating the original estimates to reduce buffer size, utilizing techniques such as linear interpolation and pseudo floating-point representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of component carriers and antennas is increased to support multiple antennas and modulation carriers, then the communication system's bandwidth and capacity are improved, but the channel estimation buffer size increases and occupies a significant portion of the integrated circuit
Solution Approach 1:
The patent divides the channel estimation buffer into multiple segments corresponding to different component carriers and antenna groups. By segmenting the buffer storage, the system can manage and compress each segment independently, reducing the overall buffer size requirement while maintaining support for multiple carriers and antennas
Solution Approach 2:
The patent changes the representation parameters of channel estimates by transitioning from storing complete channel estimation data to storing only differential values or compressed representations. This parameter transformation reduces the buffer size while preserving the essential channel information needed for coherent detection
2Measurement precision
If all channel estimates are stored in the buffer for accurate data demodulation, then the measurement precision is improved, but the device complexity increases due to larger buffer requirements
Solution Approach 1:
The patent creates a compressed copy of the channel estimation data by storing differential values or predicted error terms instead of complete channel estimates. This copying approach maintains the necessary information for accurate demodulation while significantly reducing the buffer memory requirements and device complexity
Data Source
AI summary
An apparatus and a method are provided. The apparatus includes a receiver configured to receive a signal over channels, a channel estimator configured to estimate the channels as first channel estimates; and a processor configured to compress the channel estimates to reduce buffer size. The method includes receiving a signal over channels by a receiver, estimating, by a channel estimator, the channels as a first channel estimate; and compressing, by a processor, the channel estimates to reduce buffer size.


