Multi-Antenna Signal Compression for Backhaul Capacity Limits
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Solution Overview
Problem
The exponential growth in wireless data communications puts pressure on cellular networks, leading to inter-cell interference due to the inefficient use of radio resources, particularly in CoMP systems where large amounts of signal information need to be transmitted between remote base stations and a central processor, overwhelming the capacity of backhaul links.
Innovation Solution
The technology compresses multi-antenna complex-valued signals by exploiting spatial and temporal correlations to reduce redundancy, using decorrelation and quantization techniques, such as finite impulse response filtering and linear spatial transformations, to generate a compressed signal that requires fewer bits for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If independent quantization of backhaul signals is used, then implementation is simple, but backhaul capacity is insufficient
Solution Approach 1:
The patent changes the representation parameters of backhaul signals by applying linear transformations (such as DFT, DCT, or wavelet transforms) to convert time-domain signals into frequency-domain or transformed-domain representations. This parameter transformation enables more efficient compression by exploiting signal correlations, thereby increasing the effective backhaul capacity without complicating the implementation architecture.
Solution Approach 2:
The patent segments the backhaul signal processing into distinct stages: transformation domain conversion, quantization, and reconstruction. By dividing the processing chain into separate functional blocks, the system achieves efficient compression while maintaining implementation simplicity through modular design.
2Productivity
If multiple antennas are deployed, then spectral efficiency is improved, but backhaul signal complexity increases
Solution Approach 1:
The patent merges the processing of multiple antenna signals by applying a linear transformation matrix that combines signals from multiple antennas into a transformed domain. This merging approach reduces the overall signal complexity by exploiting correlations between antenna elements, allowing efficient representation of multi-antenna signals over the backhaul link.
3Speed
If signal information is transmitted in timely fashion, then coordination effectiveness is improved, but backhaul capacity is overwhelmed
Solution Approach 1:
The patent applies linear transformations to change the parameter representation of signals, enabling more compact encoding of the same information content. This parameter transformation allows timely signal transmission by reducing the number of bits that need to be transmitted over the backhaul link, thus avoiding capacity overload while maintaining coordination effectiveness.
Data Source
AI summary
The technology in this application compresses multi-antenna complex-valued signals by exploiting both a spatial and a temporal correlation of the signals to remove redundancy within the complex-valued signals and substantially reduce the capacity requirement of backhaul links. At a receiver, the compressed signal is received, and a decompressor decompresses the received signal over space and over time to reconstruct the multiple antenna stream.