RF Signal Receiving Device Fronthaul Compression
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Solution Overview
Problem
In massive multiple input multiple output (M-MIMO) systems, the high volume of data transmission between radio resource units (RRUs) and the baseband unit (BBU) via fronthaul links is inefficient, leading to hardware limitations and increased requirements, especially with the addition of more antennas, despite compression techniques like CPRI.
Innovation Solution
Implementing a decompression and joint compression block at each RRU to reduce communication rate requirements between RRU nodes and the central unit, exploiting signal correlation and adapting to channel state information and delay requirements, thereby decreasing fronthaul throughput needs while maintaining signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of antennas is increased to improve spectral efficiency in M-MIMO systems, then the data transmission volume between RRUs and BBU increases, but hardware limitations and fronthaul link requirements are exceeded
Solution Approach 1:
The patent extracts and processes signal correlations at the RRU level before transmission. By identifying and removing redundant correlated signal components locally at each RRU, the system transmits only the essential independent signal information over the fronthaul link, dramatically reducing the data volume while preserving the ability to reconstruct full M-MIMO functionality at the BBU.
Solution Approach 2:
The patent implements a nested processing structure where signal correlation exploitation is nested within the RRU units, which are themselves nested within the broader M-MIMO system architecture. Each RRU contains embedded correlation processing functionality that operates on locally received signals, creating a hierarchical nested structure that reduces overall system data requirements.
2Quantity of substance
If compression techniques like CPRI are applied to reduce fronthaul requirements, then data transmission volume is reduced, but signal quality and reconstruction accuracy deteriorate
Solution Approach 1:
The patent fundamentally changes the compression approach from generic bit-level compression to correlation-based signal processing. By transforming the compression parameter from simple rate reduction to intelligent signal component selection based on correlation metrics, the system achieves both throughput reduction and maintained reconstruction accuracy. The correlation parameter becomes the key metric for determining what signal information to transmit.
3Reliability
If dedicated fronthaul links are provided to each RRU in centralized MIMO receivers, then signal quality is maintained, but hardware complexity and system cost increase
Solution Approach 1:
The patent merges the correlation processing functionality into the RRU units themselves, combining signal reception, correlation analysis, and compressed transmission functions at the RRU level. This integration eliminates the need for separate dedicated high-capacity fronthaul links for each RRU, as the merged processing approach reduces overall data requirements while maintaining signal quality through intelligent correlation-based compression.
Data Source
AI summary
The present disclosure relates to reception of radio frequency (RF) signals from one or more user communication devices at N RF signal receiving devices, wherein N is a positive integer, and to processing of the received RF signals by the one or more RF signal receiving devices. A RF signal receiving device decompresses compressed output signals received from one or more RF signal receiving devices of the N RF signal receiving devices and generates a compressed output signal by executing a signal compression with regard to the decompressed signals and with regard to a RF signal received by the RF signal receiving device. Additionally, the present disclosure is directed to a further processing of output signals of a RF signal receiving device of the N RF signal receiving devices at a signal processing device.


