Modulation and Coding Scheme Selection with Interference Constellation Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional wireless transmitters treat interference signals as Gaussian noise, which is inefficient, as most interference signals are modulated with finite constellation sizes, whereas Gaussian noise is unmodulated, leading to suboptimal selection of modulation and coding schemes (MCS) for data transmission.
Innovation Solution
The system distinguishes interference signals from Gaussian noise and selects MCS by generating modulation-constrained capacities for multiple modulation schemes, considering the constellation sizes of both the intended and interference signals, and choosing the scheme with the highest data rate that exceeds a threshold capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If interference signals are treated as Gaussian noise, then the selection process is simplified, but the accuracy of MCS selection deteriorates
Solution Approach 1:
The patent changes the fundamental parameter assumption about interference signals - instead of treating them as Gaussian noise with infinite constellation size, the system identifies and uses the actual finite constellation size parameter of the interference signal. This parameter change enables more accurate capacity calculation and MCS selection that accounts for the structured nature of interference signals.
2Measurement precision
If the constellation size of interference signal is considered, then the MCS selection accuracy is improved, but the computational complexity increases
Solution Approach 1:
The system performs preliminary identification of the interference signal's modulation scheme and constellation size before the MCS selection process. By determining these parameters in advance, the system avoids repeated complex calculations during MCS selection, reducing overall computational complexity while maintaining accuracy.
Solution Approach 2:
The patent uses capacity lookup tables that pre-compute and store capacity values for different modulation schemes and signal-to-interference ratios. Instead of performing complex capacity calculations in real-time, the system copies and uses pre-stored capacity values, significantly reducing computational complexity during actual MCS selection operations.
3Device complexity
If traditional Gaussian noise assumption is used, then the analysis is simpler, but the data rate performance deteriorates
Solution Approach 1:
The patent changes the capacity calculation to account for the finite constellation size of interference signals rather than assuming Gaussian noise. This parameter change in the capacity model leads to more accurate determination of achievable data rates, enabling the system to select MCS that achieves higher actual data rates compared to the traditional Gaussian assumption.
Data Source
AI summary
A sensing module determines whether a signal sensed in a wireless channel is noise or is modulated by a remote device and attempts to determine, in response to the signal being modulated, a modulation scheme of the signal. A capacity determination module determines capacities of the wireless channel to transmit data using a plurality of modulation schemes. In response to the modulation scheme of the signal being determinable, the plurality of modulation schemes includes the modulation scheme of the signal. In response to the modulation scheme of the signal being indeterminable, the plurality of modulation schemes includes one or more modulation schemes that the remote device is configured to use to modulate the signal. A transmit module selects a first modulation scheme of the plurality of modulation schemes based on the capacities of the wireless channel and transmits data over the wireless channel using the first modulation scheme.