Uplink MIMO Sub-Band Compression for Fronthaul Bottlenecks
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Solution Overview
Problem
Massive MIMO systems face high throughput requirements in fronthaul links due to high bandwidths and large numbers of antennas, leading to prohibitive communication data needs between baseband processing nodes and multi-antenna receivers, with existing compression algorithms failing to exploit signal correlations effectively.
Innovation Solution
The system converts digital time-domain signals from multiple antennas into combined digital frequency-domain signals, which are then grouped and quantized in a projected space of lower dimensionality, reducing communication rates by exploiting correlations and only compressing relevant signal information, thereby reducing the need for overhead data on transformation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If compression algorithms are applied in time domain per antenna basis, then signal reconstruction quality is maintained, but fronthaul throughput requirements remain prohibitive due to failure to exploit spatial correlations between antennas
Solution Approach 1:
The patent transforms the compression approach from time-domain per-antenna processing to frequency-domain sub-band processing. By converting signals to frequency domain and dividing into sub-bands, the system exploits spatial correlations between antennas more effectively, achieving better compression ratios while maintaining signal reconstruction quality.
Solution Approach 2:
The invention changes the domain of processing from time-domain to frequency-domain, and applies different compression parameters for different sub-bands. This allows adaptive compression where each sub-band can be optimized independently, improving overall throughput while maintaining quality.
2Loss of information
If full dimensionality signal processing is performed, then complete signal information is preserved, but baseband processing complexity increases significantly
Solution Approach 1:
The patent segments the frequency spectrum into multiple sub-bands and processes each sub-band separately. This segmentation allows the system to reduce dimensionality in each sub-band while maintaining overall signal information, thereby reducing baseband processing complexity without significant information loss.
Solution Approach 2:
The invention applies partial processing by focusing computational resources on the most important sub-bands and using reduced dimensionality processing where appropriate. This selective approach maintains essential signal information while reducing overall processing complexity.
Data Source
AI summary
A multi-antenna receiver within an uplink MIMO communication system is described. The antenna receiver includes an RRU and a BBU communicating between themselves through a fronthaul (FH) link. The multi-antenna receiver significantly decreases the fronthaul (FH) throughput requirements, while guaranteeing a low EVM between the time-domain signals transmitted from the users towards the RRU and the signals reconstructed and recovered at the BBU. The RRU processes the obtained frequency-domain signals in a space of dimensionality N by projecting them into a signal space of lower dimensionality (N′) and compressing them in the obtained projected signal subspace. At the BBU, the frequency-domain signals are decompressed and reconstructed on the projected signal subspace, before recovering the transmitted time-domain signals.