DFE Data Compression for Low-Power mmWave Baseband Interfaces
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Solution Overview
Problem
Next-generation communication systems using millimeter-wave frequency bands face challenges in supporting high data rates at the I/O interface while maintaining low latency, low complexity, and low power consumption, particularly in the mmWave RF front-end, which requires high-bandwidth and high-rate interfaces to deliver data to baseband peripherals.
Innovation Solution
The implementation of a 5G data compressor signal processing concept that reduces the load on digital interfaces by compressing data before transmission, using lossless and low-loss compression algorithms, and integrating partial baseband functionality into the mmWave TRX, enabling efficient data transfer through the use of FFT and iFFT functions to align data in the frequency domain and convert it back to the time domain as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-bandwidth and high-rate interfaces are used to deliver mmWave data to baseband peripherals, then data rate is improved, but power consumption increases to about 1 Watt
Solution Approach 1:
The patent applies preliminary action by performing data compression at the digital front-end (DFE) before data transmission to baseband. The compression is done in advance on the complex baseband signal, reducing the data volume that needs to be transmitted over the high-speed interface, thereby lowering power consumption while maintaining the required effective data rate.
Solution Approach 2:
The patent changes the parameter of data representation by transforming complex baseband signals into a compressed format that requires fewer bits for transmission. This parameter change involves encoding the signal characteristics (amplitude, phase, frequency) in a more efficient manner, reducing the interface data rate requirement and consequently the power consumption.
2Use of energy by moving object
If data compression is applied at the DFE, then power consumption is reduced, but signal quality may degrade due to quantization noise
Solution Approach 1:
The patent carefully manages parameter changes during compression by using appropriate quantization levels and encoding schemes that minimize signal quality degradation. The compression algorithm is designed to preserve critical signal characteristics while reducing data volume, balancing power consumption reduction with acceptable signal quality.
Solution Approach 2:
The system incorporates feedback mechanisms to monitor signal quality metrics and adjust compression parameters accordingly. By evaluating the impact of compression on signal-to-quantization-noise ratio and error vector magnitude, the system can optimize compression settings to maintain acceptable signal quality while achieving power reduction goals.
3Productivity
If compression algorithms are implemented at the DFE, then interface data rate is reduced, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the compression functionality into modular components within the DFE architecture. The compression algorithm is implemented as a separate functional block that processes the complex baseband signal, allowing for independent optimization and integration without overwhelming the overall DFE complexity.
Solution Approach 2:
The patent replaces complex mechanical or hardware-based high-speed data transmission with a software or firmware-based compression algorithm. This substitution allows for more flexible and efficient data handling, reducing the requirements for high-speed physical interfaces while adding manageable computational complexity to the DFE.
Data Source
AI summary
This disclosure relates to a data processing device, comprising: a digital front end (DFE) configured to convert an antenna signal to digital data, wherein the digital data comprises a plurality of data symbols; a baseband (BB) circuitry configured to process the digital data in baseband; and a digital interface between the DFE and the BB circuitry, wherein the DFE comprises a data compression circuitry configured to compress the plurality of data symbols for use in transmission via the digital interface to the BB circuitry.


