Lattice Data Stream Precoding for Interference Alignment
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Solution Overview
Problem
Conventional interference alignment methods in radio communications are not practical due to the use of random Gaussian symbols and lack applicability in actual signal processing procedures, and the theoretical research on lattice structures and SISO channels is not yet applicable in practical scenarios.
Innovation Solution
A data stream processing method that uses precoding parameters to align interference, with lattice point data streams mapped to a lattice grid, and sends these streams through a MIMO channel, allowing for effective interference filtering and target data stream recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional IA method uses Gaussian symbol to simulate interfering signal, then the best degree of freedom (DoF) may be implemented, but the interference is random and does not meet practical application
Solution Approach 1:
The patent changes the fundamental parameter of interfering signal from random Gaussian symbols to structured lattice signals. This transformation maintains the DoF performance while making the interference alignable and practically processable through structured signal processing techniques.
Solution Approach 2:
The patent employs composite signal structures by combining lattice coding with interference alignment techniques. The lattice structure provides regularity and structure to the interfering signals, enabling practical processing while maintaining theoretical performance.
2Reliability
If Lattice structure is used for IA processing with SISO channels, then a border of the DoF can be proven, but it is still under elementary theoretical research and not applicable in practical signal processing procedure
Solution Approach 1:
The patent makes the lattice-based IA method universally applicable by extending it from theoretical SISO channel analysis to practical MIMO system implementation. The method serves both theoretical analysis and practical signal processing needs simultaneously.
Solution Approach 2:
The patent replaces the theoretical mathematical framework with practical signal processing operations. By substituting abstract lattice theory with concrete precoding and equalization algorithms, the method becomes implementable in real communication systems.
3Object-generated harmful factors
If precoding processing is performed on lattice point data streams through MIMO channel, then effective interference filtering is achieved, but multiple parameters need to be obtained and transmitted between devices
Solution Approach 1:
The patent performs preliminary precoding processing at the transmitting device to pre-align interference before signals enter the MIMO channel. This preliminary action reduces the complexity of interference management at the receiving end, as interference is already structured and alignable before reception.
Solution Approach 2:
The patent introduces structured lattice codes as an intermediary between the data streams and the MIMO channel. This intermediary structure enables systematic interference management by providing a regular framework that facilitates both filtering and parameter efficiency.
Data Source
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AI summary
The present invention provides a method, a device, and a system for data stream processing. The method for data stream processing includes: using a precoding parameter to precode a to-be-sent l-th data stream of a current k-th transmitting device, where the l-th data stream includes a lattice data stream mapped to a lattice grid; and sending the precoded to-be-sent l-th data stream to a k-th receiving device, where l and k are positive integers. The technical solutions provided in the embodiments of the present invention help filter out interference, exactly comply with the actual processing procedure of interfering data streams and have high practicability.