mmWave Receiver Spatial Compression for Low-Power I/O
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Solution Overview
Problem
Current mmWave receiver architectures face challenges in power efficiency due to high power consumption in wide bandwidth and high throughput I/O interfaces, with existing methods like CPRI and analog beamforming not effectively accounting for signal correlation and sparsity, leading to increased computational complexity and latency.
Innovation Solution
Implementing a spatial compression block in the digital domain to reduce the dimensionality of receive signals, utilizing properties of the mmWave channel's sparsity and directionality, which selects significant receive signals to minimize the number of I/O links and enhance signal-to-noise ratio, thereby reducing power consumption and computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wide bandwidth and high throughput I/O interfaces are used to support next generation communication systems, then data rate and bandwidth are improved, but power dissipation increases significantly
Solution Approach 1:
The patent extracts and removes redundant information from the receive signal vector by identifying and eliminating correlated components. This is achieved through spatial compression techniques that separate significant signal components from redundant ones, thereby reducing the data volume that needs to be transmitted through high-power I/O interfaces while maintaining the essential information content
Solution Approach 2:
The patent implements nested compression by applying multiple levels of compression: first spatial compression to reduce dimensionality, then additional compression on the compressed signal. This nested approach allows progressive reduction of data volume, enabling the system to achieve high throughput with reduced power dissipation by transmitting only the most essential compressed representations
2Quantity of substance
If existing compression methods like CPRI and analog beamforming are used, then some data reduction is achieved, but they do not account for signal correlation and sparsity, leading to increased computational complexity
Solution Approach 1:
The patent changes the parameter of signal representation by transforming the receive signal into a compressed domain that exploits the inherent sparsity and correlation structure of mmWave channels. This parameter transformation reduces the effective dimensionality of the signal, allowing for lower computational complexity in subsequent processing while achieving greater compression efficiency
Solution Approach 2:
The patent performs preliminary spatial compression before subsequent processing stages by pre-identifying and compressing the significant components of the receive signal. This preliminary action reduces the data volume early in the processing chain, thereby reducing the computational burden on subsequent stages compared to methods that process full-dimensional signals
3Use of energy by moving object
If analog beamforming is used for spatial compression, then some power consumption is reduced, but sector sweeping latency is introduced
Solution Approach 1:
The patent replaces the mechanical sector sweeping process with a digital spatial compression approach that operates on the full receive signal vector simultaneously. Instead of sequentially sweeping through sectors to identify signal directions, the system applies spatial compression transformations that process all spatial information in parallel, thereby eliminating the time delay associated with sequential sector sweeping while achieving similar or better power consumption
Data Source
AI summary
A receiver circuit associated with a communication device is disclosed. The receiver circuit comprises a digital data compression circuit configured to receive a plurality of digital receive signals derived from a plurality of analog receive signals respectively associated with the receiver circuit. The digital data compression circuit is further configured to compress the plurality of digital receive signals to form one or more compressed digital data signals based thereon, to be provided to an input output (I/O) interface associated therewith. In some embodiments, a compressed digital signal dimension associated with the one or more compressed digital data signals is less than a digital signal dimension associated with the plurality of digital receive signals.