Preprocessing-Based Precoding for Wireless Interference Reduction
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently precoding downlink communications, leading to increased error rates and power consumption due to inter-layer interference, especially when preprocessing is performed at the user equipment (UE).
Innovation Solution
The method involves transmitting an indication of a preprocessing matrix from the UE to the network node, allowing the node to apply precoding that accounts for the preprocessing performed at the UE, thereby optimizing precoding and reducing processing and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If precoding is applied without considering UE preprocessing, then network node processing is simplified, but inter-layer interference increases and error rates increase
Solution Approach 1:
The UE performs preprocessing on the received signal before decoding, and the network node is informed of the preprocessing matrix in advance. This preliminary action at the UE side enables the network to design appropriate precoding strategies that account for the preprocessing operation, thereby reducing inter-layer interference and error rates without significantly increasing overall system complexity.
Solution Approach 2:
The UE feeds back the preprocessing matrix or related information to the network node. This feedback mechanism allows the network to adapt its precoding strategy based on the actual preprocessing performed at the UE, enabling coordinated optimization that reduces interference while maintaining manageable complexity through informed decision-making.
2Use of energy by moving object
If traditional precoding is used without preprocessing coordination, then system implementation is simpler, but power consumption increases due to higher error rates
Solution Approach 1:
The UE applies preprocessing to the received signal before decoding operations, and the network node is informed of this preprocessing in advance. This preliminary action reduces the need for repeated decoding attempts due to errors, thereby reducing overall power consumption despite the added complexity of coordinated precoding and preprocessing operations.
Solution Approach 2:
The UE provides feedback about its preprocessing operations to the network node, enabling the network to optimize precoding accordingly. This feedback loop allows the system to achieve lower power consumption through reduced retransmissions and more efficient decoding, justifying the increased system complexity.
3Productivity
If precoding is optimized based on UE preprocessing, then demodulation efficiency improves, but signaling overhead increases due to preprocessing matrix indication
Solution Approach 1:
Instead of transmitting the complete preprocessing matrix, the system extracts and transmits only the essential characteristics or parameters of the preprocessing operation. This extraction approach maintains demodulation efficiency by providing sufficient information for the network to optimize precoding, while significantly reducing the signaling overhead compared to transmitting the full matrix.
Solution Approach 2:
The preprocessing matrix indication is transformed into a more compact representation by changing the parameter format or using differential encoding. This parameter transformation maintains the necessary information for efficient demodulation while reducing the amount of data that needs to be signaled between UE and network node.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of a preprocessing matrix to be applied to received communications. The UE may receive a communication having precoding applied, the precoding based at least in part on the preprocessing matrix. Numerous other aspects are described.