Silent Resource Patterns for Channel Sensing
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately performing channel sensing, especially in shared spectrum environments, due to intra-cell interference which can lead to inaccurate detection of inter-cell and inter-RAT signals, affecting the efficiency and reliability of channel access.
Innovation Solution
A method where a wireless node determines silent resource patterns for multiple signal waveform types, allowing channel sensing to be performed during unused resource periods, thereby avoiding intra-cell interference and enhancing the detection of inter-cell and inter-RAT signals, using either a known or unknown signal waveform type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If channel sensing is performed in shared spectrum environments, then channel access efficiency is improved, but intra-cell interference causes inaccurate detection of inter-cell and inter-RAT signals
Solution Approach 1:
The patent segments the resource elements into different types (data REs, reference signal REs, and silent REs) and applies different sensing strategies to each segment. Silent REs are specifically designated for channel sensing purposes, allowing accurate detection without being contaminated by intra-cell interference from data transmissions.
Solution Approach 2:
The patent extracts specific resource elements (silent REs) from the overall resource structure and dedicates them exclusively for channel sensing. These silent REs are removed from data transmission and used solely for detecting inter-cell and inter-RAT signals, thereby eliminating intra-cell interference for the sensing function.
2Measurement precision
If silent resource patterns are determined for multiple signal waveform types, then channel sensing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal silent resource pattern structure that can be applied across multiple signal waveform types (single carrier and multicarrier). The same silent RE pattern identification mechanism serves all waveform types, reducing the need for separate complex processing for each type while maintaining sensing accuracy.
Solution Approach 2:
The patent changes the parameter of resource element allocation by designating specific REs as silent for different waveform types. By adjusting which REs are designated as silent based on the waveform type being sensed, the system achieves accurate multi-waveform sensing without requiring completely separate sensing mechanisms for each type.
Data Source
AI summary
According to an example embodiment, a method may include determining, by a wireless node in a cell, a silent resource pattern for each of a plurality of signal waveform types including at least a single carrier waveform type and a multicarrier waveform type, wherein each silent resource pattern identifies one or more resource elements that are indicated as unused by at least one node of the cell for the signal waveform type; determining, by the wireless node, whether a signal waveform type, of the plurality of signal waveform types, for channel sensing is known by the wireless node; performing, by the wireless node if a signal waveform type for channel sensing is known by the wireless node, channel sensing based on a silent resource pattern for a known signal waveform type for channel sensing of the plurality of signal waveform types; and otherwise, performing, by the wireless node if the signal wave form type for channel sensing is not known by the wireless node, channel sensing based on a silent resource pattern for each of a plurality of the signal waveform types.