Multi-Level Balanced Coding for Superimposed Pilot Channel Estimation
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in channel estimation and data transmission due to the use of orthogonal pilots, which consume network resources and reduce spectral efficiency, especially in multi-user MIMO scenarios.
Innovation Solution
The implementation of a multi-level balanced code that encodes data with superimposed pilots (SIPs) using communication resources, allowing for channel parameter estimation and improved spectral efficiency by sharing resources with data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If orthogonal pilots are used for channel estimation, then channel parameter estimation can be performed, but network resources are consumed and spectral efficiency is reduced
Solution Approach 1:
The patent combines channel estimation pilots and data transmission into a unified resource allocation framework. By allowing pilots and data to share the same time-frequency resources through superposition coding, the system eliminates the need for separate orthogonal pilot resources, thereby improving spectral efficiency while maintaining channel estimation capability
Solution Approach 2:
The patent enables communication resources to serve dual purposes: they function as both data transmission carriers and channel estimation pilots simultaneously. This multi-functionality is achieved through superimposed pilot (SIP) technology where pilots are embedded within data resources, allowing the same resources to fulfill both information delivery and channel characterization roles
2Productivity
If superimposed pilots are transmitted using communication resources occupied by data, then spectral efficiency is improved, but interference between SIPs and data occurs
Solution Approach 1:
The patent employs parameter optimization techniques to adjust pilot power allocation, codebook selection, and resource configuration. By carefully controlling the power ratio between superimposed pilots and data, and selecting appropriate balancing codes, the system minimizes interference while maintaining the spectral efficiency benefits of resource sharing
Solution Approach 2:
The patent transforms the inherent interference between superimposed pilots and data into a manageable parameter through careful power allocation and code design. The interference is not eliminated but converted into a controllable factor that can be optimized through parameter adjustment, allowing the system to achieve high spectral efficiency while maintaining acceptable performance
3Reliability
If multi-level balanced code is used for encoding data, then error correction capabilities are improved, but codeword selection complexity increases
Solution Approach 1:
The patent segments the codebook into multiple levels or groups, where codewords are organized hierarchically. This segmentation allows the receiver to perform sequential detection and decoding at different levels, reducing the overall computational complexity compared to searching through a single large codebook, while still achieving the error correction benefits of the multi-level balanced code structure
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive data encoded based on a multi-level balanced code, codewords of the multi-level balanced code being selected based on a finite number of multiple sum values, corresponding to all constellation symbol sequences in the multi-level balanced code. The UE may receive a superimposed pilot (SIP) using communication resources occupied by the data. The UE may estimate one or more channel parameters based on the SIP and the multi-level balanced code. Numerous other aspects are described.