Wireless Receiver Interference Cancellation Dynamics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing interference cancellation methods in wireless communication networks, such as those used in 3GPP Rel-12, face challenges in accurately estimating transmission properties of interfering signals, leading to performance losses and increased power consumption due to reliance on blindly detected assistance information.
Innovation Solution
A method is introduced where a wireless device performs two receiving processes: one with interference cancellation based on estimated transmission properties and another without, ensuring that if the initial decoding is incorrect, the second process avoids errors caused by blind detection, thereby maintaining baseline performance and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If interference cancellation is performed based on blindly detected assistance information, then interference suppression capability is improved, but performance loss occurs due to estimation errors
Solution Approach 1:
The system dynamically switches between two receiver processes based on decoding success. The first receiver process uses interference cancellation when interference is detected, while the second uses baseline processing. This dynamic adaptation allows the system to optimize performance by selecting the appropriate processing mode according to actual channel conditions and interference levels, resolving the contradiction between interference suppression and reliability.
Solution Approach 2:
The receiver is segmented into two distinct processing paths: a first receiver process that applies interference cancellation and a second receiver process that uses baseline processing without interference cancellation. By dividing the reception function into separate processes, the system can independently optimize each path and select the most appropriate one based on decoding outcomes, thereby maintaining reliability while enabling interference suppression.
2Object-affected harmful factors
If interference cancellation is always performed, then interference suppression is improved, but power consumption increases
Solution Approach 1:
Instead of continuously performing interference cancellation, the system periodically alternates between two receiver processes. The first process with interference cancellation is attempted first, and if decoding fails, the second baseline process is used. This periodic switching based on decoding feedback reduces unnecessary computation and power consumption while maintaining interference suppression capability when needed.
Solution Approach 2:
The system changes the processing parameter (interference cancellation enabled/disabled) based on decoding success. When the first receiver process successfully decodes the signal, interference cancellation remains active. When decoding fails, the system switches to the second process with baseline processing, effectively changing the parameter to reduce power consumption while maintaining performance.
3Device complexity
If blindly detected assistance information is used for interference cancellation, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The system prepares two receiver processes in advance to cushion against the imprecision of blind detection. The first process uses blindly detected assistance information for interference cancellation, while the second process uses baseline processing without such detection. This prior preparation ensures that even if blind detection is imprecise, the system has a fallback mechanism to maintain decoding accuracy.
Solution Approach 2:
The system uses decoding success as feedback to evaluate the accuracy of blindly detected assistance information. If decoding succeeds with the first receiver process, the blind detection is considered sufficiently accurate. If decoding fails, the feedback indicates poor estimation accuracy, and the system switches to the second process, thereby adapting to the actual measurement precision achieved.
Data Source
AI summary
A technology is disclosed for decoding a received signal at a wireless device. A first receiving process is performed comprising a decoding of the signal giving a first decoded result. It is determined if the first decoded result is correctly decoded. If so, the first decoded result is provided for downstream processing. If not, a second receiving process is performed comprising a decoding of the received signal for providing a second decoded result; and the second decoded result is provided for downstream processing. Further, either the first or second receiving process performs a blind detection of the transmission properties of an interfering signal and performs an interference cancellation thereupon.