Radio Receiver Equalization Algorithm Selection
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Solution Overview
Problem
Conventional CDMA mobile radio receivers experience performance degradation due to Multiple Access Interference (MAI) and code orthogonality loss in multipath propagation, especially at high data rates, leading to sub-optimal performance in WCDMA systems.
Innovation Solution
A radio receiver that dynamically selects between rake and channel equalizer processing based on channel conditions, using estimated parameters such as Doppler spread and signal-to-interference ratios to optimize processing resources and power consumption, and chooses between linear and non-linear equalizer structures, Baud-spaced or fractionally-spaced structures, and different cost functions to enhance performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If channel equalisation is used instead of rake processing to restore code orthogonality, then receiver performance is improved, but implementation complexity increases
Solution Approach 1:
The patent implements dynamic selection between different equalisation algorithms (linear equalisation, decision feedback equalisation, minimum mean square error equalisation) based on real-time channel conditions. The system monitors channel parameters and adapts the equalisation type accordingly, allowing the receiver to optimize performance while managing complexity through context-aware algorithm selection rather than always using the most complex method
Solution Approach 2:
The system changes the operational parameters of the equalisation process by selecting different algorithms based on channel conditions. When channel conditions indicate strong multipath effects, the system switches to more sophisticated equalisation methods. When conditions are simpler, it uses less complex processing, thereby adapting the implementation complexity to match the actual channel requirements
2Reliability
If more sophisticated equalisation algorithms are used to improve performance at high data rates, then receiver performance is improved, but processing resources and power consumption increase
Solution Approach 1:
The patent dynamically adjusts the level of processing by selecting appropriate equalisation algorithms based on channel conditions and data rate requirements. At lower data rates or in channels with weaker multipath effects, the system uses less computationally intensive processing. At high data rates where performance is critical, it activates more resource-intensive algorithms, thereby optimizing the trade-off between performance and power consumption
Solution Approach 2:
The system applies equalisation processing selectively rather than universally. It determines when equalisation is necessary based on channel conditions and only applies the appropriate algorithm when needed, avoiding unnecessary processing resources and power consumption in scenarios where simpler processing suffices
Data Source
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AI summary
Techniques are described for optimizing the processing facilities of a receiver in a wireless communication environment, taking into account processing performance set against the computing resources and/or power consumption required to obtain that processing performance. A radio receiver for a wireless communications system can include channel equalization means arranged to receive samples of an incoming signal and to generate an equalized output, said channel equalization means including means for processing said digital samples in accordance with an equalizer algorithm. The receiver includes means for estimating parameters of a channel over which the incoming signal has been transmitted. The receiver can also include means for selecting from a plurality of equalizer algorithms an equalizer algorithm for execution by the processing means based on at least one said estimated channel parameter. Related methods and algorithms are described. Related computer program products are also described.