Base Station Uplink Signal Segmentation for Interference Cancellation
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Solution Overview
Problem
Current macro cell receivers in heterogeneous networks face challenges in processing multiple uplink signals from pico cells, leading to increased computational complexity and noise, which reduces data throughput and limits the ability to utilize the shared cell ID approach effectively.
Innovation Solution
A base station with a processor that determines channel performance data for uplink data streams and discards or tags them for additional processing based on predetermined performance levels, enabling interference cancellation and resource block scheduling to improve signal quality and reduce processing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the shared cell ID approach is used to simplify signaling and avoid hand-off overhead, then mobile device signaling complexity is reduced, but the macro cell receiver experiences increased computational complexity and noise when processing multiple uplink signals from pico cells
Solution Approach 1:
The patent segments the uplink signal processing by dividing the received composite signal into individual uplink signals from different mobile devices. The macro cell receiver processes each uplink signal separately through FFT, channel estimation, and interference cancellation stages, rather than treating all signals as a single distributed antenna system. This segmentation reduces computational complexity by processing signals in organized stages.
Solution Approach 2:
The patent applies preliminary interference cancellation before main signal processing. The macro cell receiver first identifies and cancels interfering signals from other cells using reference signals and channel state information, then processes the remaining desired signals. This preliminary action removes harmful interference early in the processing chain, reducing the burden on subsequent processing stages.
2Reliability
If all uplink signals from pico cells are processed for antenna combining, then signal diversity is improved, but processing resources are rapidly consumed and data throughput is reduced due to exponential computational complexity
Solution Approach 1:
The patent extracts only the necessary components for interference cancellation and channel estimation before main signal processing. Reference signals are extracted and processed separately to determine channel state information and identify interfering signals. This extraction approach allows the system to obtain essential channel knowledge without processing the entire uplink signal at full complexity, preserving throughput while maintaining reliability.
Solution Approach 2:
The patent applies partial processing to uplink signals by performing FFT and channel estimation on a subset of resource blocks rather than processing all signals at full detail simultaneously. The system processes reference signals and data signals in separate stages, applying full processing only where necessary. This partial action approach maintains signal quality where needed while reducing overall computational burden.
3Device complexity
If the macro cell receiver treats shared cells as a distributed antenna system and sums all link signals, then signal combining is simplified, but noise is added to the overall received signal and data throughput is reduced
Solution Approach 1:
The patent converts the harmful effect of multiple signals adding noise into a benefit by using those same multiple signals for interference cancellation. The macro cell receiver identifies interfering signals from other cells and uses them to cancel interference in the desired signals. The harmful multi-signal environment is transformed into an opportunity for interference mitigation, improving throughput while maintaining simple receiver architecture.
Solution Approach 2:
The patent introduces channel state information and reference signal processing as intermediary steps between signal reception and final combining. Rather than directly summing all received signals, the system first processes reference signals to obtain channel estimates, then uses these estimates as intermediaries to guide the combining process. This intermediary approach prevents direct noise addition while maintaining processing simplicity.
Data Source
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AI summary
A wireless communication method and system are provided in which an uplink data stream that has uplink data associated with a user device is received. Channel performance data based at least in part on a portion of the uplink data stream is determined. A determination is made whether the channel performance data meets a predetermined performance level. The portion of the uplink data stream is discarded when the channel performance data does not meet the predetermined performance level. The portion of the uplink data stream is tagged for additional processing when the channel performance data meets the predetermined performance level.