Edge-Group Spreading for Low-Interference Data Transmission
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Solution Overview
Problem
The LTE and 5G NR communication technologies face interference issues due to frequency offset and time offset between subbands, leading to reduced spectrum efficiency and increased inter-subband interference.
Innovation Solution
Perform orthogonal spreading code transformation on the edge groups of sequences in a data sequence, followed by inverse Fourier transforms, to reduce interference and maintain bandwidth without altering the occupied bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If orthogonal spreading code transformation is performed on edge groups of sequences, then interference and out-of-band leakage are reduced, but device complexity increases
Solution Approach 1:
The data sequence is divided into multiple groups, with edge groups identified and processed separately through orthogonal spreading code transformation. This segmentation allows selective application of the transformation only to edge groups that cause interference, rather than processing the entire sequence, thereby reducing overall complexity while maintaining effectiveness.
Solution Approach 2:
Different processing approaches are applied to different parts of the data sequence: orthogonal spreading code transformation is applied specifically to edge groups where interference occurs, while inner groups may use simpler processing. This local differentiation optimizes the balance between interference reduction and computational complexity.
2Object-generated harmful factors
If orthogonal spreading code transformation is performed on edge groups of sequences, then out-of-band leakage is reduced, but device complexity increases
Solution Approach 1:
The data sequence is segmented into edge groups and inner groups, with orthogonal spreading code transformation applied selectively to edge groups that generate out-of-band leakage. This targeted approach reduces the computational burden compared to processing the entire sequence while effectively mitigating the harmful emissions.
Solution Approach 2:
The transformation is applied locally only to edge groups where out-of-band leakage originates, rather than uniformly across all groups. This localized processing maintains spectral purity while minimizing the increase in device complexity.
3Productivity
If orthogonal spreading code transformation is performed on edge groups of sequences, then spectrum efficiency is improved, but device complexity increases
Solution Approach 1:
By segmenting the data sequence and applying orthogonal spreading code transformation only to edge groups, the system achieves spectrum efficiency improvements through interference reduction without requiring full-sequence processing, thus limiting the complexity increase to only the necessary portions.
Solution Approach 2:
The selective application of transformation to edge groups rather than the entire sequence enables spectrum efficiency gains while constraining the complexity increase to minimal necessary processing, optimizing the trade-off between performance and implementation cost.
Data Source
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AI summary
The present application provides a data transmission method, an electronic device, and a computer-readable medium. The data transmission method comprises: performing an orthogonal spreading code transform on data included in an edge group of first sequences in N groups of first sequences obtained by dividing a first data sequence to be transmitted, to obtain N groups of second sequences, wherein N is an integer greater than or equal to 2; performing a first Fourier transform on the N groups of second sequences to obtain N groups of third sequences; performing a second Fourier transform on the N groups of third sequences to obtain a second data sequence; and transmitting the second data sequence.