Resource Element Compression for RS Accuracy and Data Efficiency
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Solution Overview
Problem
Conventional wireless communication systems apply the same compression type to both reference signal (RS) and data resource elements (REs) within a physical resource block, leading to relatively lossy compression for RS REs, which can compromise channel estimation and data decoding.
Innovation Solution
Implementing different compression types for RS and data REs within the same symbol, using a more robust and less lossy technique for RS REs to maintain effective channel estimation while allowing efficient data compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the same compression type is applied to both reference signal (RS) and data resource elements (REs), then device complexity is reduced and ease of operation is improved, but manufacturing precision deteriorates because RS REs suffer from relatively lossy compression which compromises channel estimation and data decoding
Solution Approach 1:
The patent segments the compression process by applying different compression types to different types of resource elements. Specifically, it divides REs into RS REs and data REs, and applies separate compression configurations (first compression type for RS REs, second compression type for data REs) to each segment, thereby resolving the contradiction between operational simplicity and compression precision
Solution Approach 2:
The patent applies local quality by using different compression characteristics for different parts of the data structure. RS REs receive a first compression type optimized for preserving channel estimation quality, while data REs receive a second compression type optimized for data transmission efficiency. This localized differentiation resolves the contradiction by tailoring compression quality to the specific requirements of each RE type
2Reliability
If a more robust compression type is applied to RS REs to improve channel estimation reliability, then reliability is improved, but device complexity increases due to the need to manage and process multiple compression types
Solution Approach 1:
The patent segments the compression management by clearly separating the handling of RS REs and data REs. The receiving device is configured to identify which REs are RS REs and which are data REs, and apply corresponding decompression types accordingly. This segmentation reduces the complexity of managing multiple compression types by providing clear identification and separation rules
Solution Approach 2:
The patent implements preliminary action by pre-configuring the receiving device with knowledge of the first and second compression types before reception occurs. The device is预先 configured to understand that RS REs will use the first compression type and data REs will use the second compression type, eliminating the need for complex real-time compression type detection and reducing processing complexity during actual reception
Data Source
AI summary
Aspects of the present disclosure relate to techniques for signal compression. Certain aspects described in this disclosure can be implemented in a method for wireless communication by a distributed unit (DU). The method generally includes compressing at least one reference signal (RS) in one or more first set of resource elements (REs) of a symbol and data in one or more second set of REs of the symbol, wherein the at least one RS is compressed using a first compression type and the data is compressed using a second compression type, and wherein the first compression type is different than the second compression type; and sending, to a radio unit (RU), the symbol having the at least one RS in the one or more first set of REs and the data in the one or more second set of REs compressed using the first and second compression types, respectively.