Hierarchical Decoder Control for BER-Latency Tradeoffs
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Solution Overview
Problem
Existing decoding algorithms face a trade-off between computational complexity and bit error rate (BER) performance, with simple algorithms insufficient in poor channel environments and complex algorithms increasing processing latency and power consumption.
Innovation Solution
A decoding apparatus with multiple decoder stages and a controller that dynamically selects decoding algorithms based on the bit error rate (BER) of a received signal, using a hierarchical approach to switch between algorithms of varying computational complexity to ensure successful decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a complex decoding algorithm is used, then BER performance is improved, but computational complexity and power consumption increase
Solution Approach 1:
The decoding process is divided into multiple stages, each applying a different decoding algorithm with varying complexity. The controller segments the decoding task by selecting appropriate algorithms based on channel conditions, thereby reducing overall computational complexity while maintaining BER performance through hierarchical processing.
Solution Approach 2:
The decoding apparatus dynamically selects and switches between different decoding algorithms based on real-time channel conditions and BER requirements. This dynamic adaptation allows the system to use simpler algorithms when possible, reducing computational complexity and power consumption, while transitioning to more complex algorithms only when necessary for poor channel conditions.
2Reliability
If a complex decoding algorithm is used, then BER performance is improved, but processing latency increases
Solution Approach 1:
The decoding process is segmented into multiple stages with increasing algorithm complexity. By processing signals through simpler algorithms first in earlier stages, the system reduces overall processing time for good channel conditions, while reserving more complex algorithms for later stages only when simpler methods fail, thus optimizing latency-performance tradeoff.
Solution Approach 2:
The controller performs preliminary assessment of channel conditions and BER requirements before selecting the decoding algorithm. This preliminary action allows the system to choose the most appropriate algorithm in advance, avoiding unnecessary execution of complex algorithms when simpler ones suffice, thereby reducing processing latency while maintaining BER performance.
3Reliability
If a complex decoding algorithm is used, then BER performance is improved, but power consumption increases
Solution Approach 1:
The decoding functionality is segmented across multiple stages with progressively more complex algorithms. This segmentation enables the system to consume less power by utilizing simpler algorithms in earlier stages for good channel conditions, and only activating more power-intensive complex algorithms in later stages when necessary for poor channel conditions, thereby optimizing the power-BER tradeoff.
Solution Approach 2:
The decoding apparatus dynamically adjusts algorithm selection based on channel conditions to optimize power consumption. By transitioning between different decoding algorithms with varying power requirements, the system minimizes power consumption for good channel conditions while ensuring adequate BER performance is maintained when channel conditions deteriorate.
Data Source
AI summary
A decoder includes multiple decoder stages and a controller. The decoder stages perform decoding operations with respect to a received signal using corresponding different decoding algorithms. The controller determines whether the decoding operation performed by one of the decoder stages with respect to the received signal is successful, and controls the decoding operation of each of the other decoder stages in response to a result of the determination.