CoMP Uplink Reception Using CRC Feedback for Set Selection
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Solution Overview
Problem
Existing CoMP selection schemes face inaccuracies due to large measurement errors in SINR during channel estimation, leading to suboptimal collaboration set selection and reduced performance for users.
Innovation Solution
A method and apparatus for coordinated multipoint reception processing that demodulates and decodes uplink signals across multiple collaboration sets, using CRC results to identify correct CRC results and process signals accurately, thereby improving collaboration set selection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If SINR-based collaboration set selection is used, then collaboration set selection can be performed, but measurement error is large leading to inaccurate selection
Solution Approach 1:
The patent introduces CRC (Cyclic Redundancy Check) as an intermediary verification mechanism. Instead of directly relying on SINR measurement values for collaboration set selection, the system uses CRC results to verify the accuracy of demodulated signals. The CRC acts as a mediator that filters out unreliable SINR-based selections, ensuring that only collaboration sets producing correct CRC results are selected, thereby resolving the contradiction between measurement precision and selection reliability.
Solution Approach 2:
The patent implements a feedback mechanism where CRC verification results are fed back to the collaboration set selection process. The system demodulates signals using candidate collaboration sets, checks CRC results, and uses this feedback information to determine whether to accept or reject each collaboration set. This closed-loop feedback ensures that selection decisions are continuously refined based on actual signal quality, overcoming the open-loop SINR measurement limitations.
2Adaptability or versatility
If multiple collaboration sets are evaluated using SINR, then collaboration set selection can be performed, but selection accuracy deteriorates due to measurement errors
Solution Approach 1:
The patent applies preliminary action by performing CRC verification on all candidate collaboration sets before final selection. Instead of selecting based solely on SINR measurements, the system first demodulates signals using each candidate collaboration set, then performs preliminary CRC checking to identify which sets produce correct results. This preliminary verification step ensures that subsequent selection decisions are based on verified accurate data, maintaining both adaptability and precision.
Solution Approach 2:
The patent changes the selection parameter from SINR (signal-to-interference-plus-noise ratio) to CRC result validity. Instead of relying on continuous SINR measurements that are prone to errors, the system transitions to a discrete parameter - whether the CRC check passes or fails. This parameter change fundamentally improves measurement accuracy by using a binary verification mechanism that is more robust against measurement errors while maintaining the ability to evaluate multiple collaboration sets.
Data Source
AI summary
Embodiments of the present invention provide a coordinated multipoint reception processing method and apparatus, and a base station. The method includes: performing demodulating and decoding an uplink signal received by k collaboration sets of M collaboration sets, to obtain k cyclic redundancy check CRC results, where the uplink signal is sent by a user equipment UE, the collaboration set is a serving sector where the UE is located or a set formed by the serving sector and any one or more collaborative sectors, M≧2, and 1≦k≦M; and if the k CRC results include at least one correct CRC result, performing processing on a signal obtained by a CRC result of the at least one correct CRC result. According to the embodiments of the present invention, in a base station, detection performance is improved under actual channel estimation.