Channel Property Assumption Selection for Overlapping Signals
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Solution Overview
Problem
In wireless communication systems, particularly in 5G networks, the challenge arises when multiple signals with different channel property assumptions (CPAs) overlap in the time domain, leading to difficulties in demodulation due to the inability to handle multiple CPAs simultaneously, especially in scenarios with non-coherent transmissions and carrier aggregation, where antennas from different transmission points have different angles of arrival.
Innovation Solution
The method involves determining channel property assumptions based on selection rules, prioritizing higher-priority signals during overlaps, and overriding lower-priority signals' CPAs to ensure proper demodulation, using a framework that selects CPAs for overlapping signals based on priority levels and transmission conditions, such as those outlined in Table 1, to manage simultaneous receptions and transmissions effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple signals with different channel property assumptions are transmitted simultaneously, then network capacity and service diversity are improved, but signal demodulation reliability deteriorates due to inability to handle multiple CPAs
Solution Approach 1:
The patent changes the parameter of channel property assumption from multiple simultaneous CPAs to a single dominant CPA by introducing priority levels. When signals overlap in time domain, the system identifies the higher-priority signal and uses its CPA for demodulation of both signals, effectively reducing the parameter complexity from multiple CPAs to one CPA while maintaining the ability to transmit multiple signals.
Solution Approach 2:
Instead of trying to accommodate multiple CPAs simultaneously (the conventional approach), the patent inverts the problem by selecting one CPA to represent multiple overlapping signals. The higher-priority signal's CPA is applied to demodulate both the higher-priority and lower-priority signals, reversing the traditional logic of assigning unique CPAs to each signal.
2Measurement precision
If channel property assumptions are determined for each overlapping signal independently, then signal-specific accuracy is improved, but device complexity increases due to multiple CPA handling requirements
Solution Approach 1:
The patent merges the CPA determination process for multiple overlapping signals into a single unified decision. Instead of independently determining CPAs for each signal, the system combines the CPA selections by prioritizing one signal's CPA over others, reducing the number of independent CPA parameters from multiple to one, thereby simplifying device complexity while maintaining acceptable accuracy.
Solution Approach 2:
The selected CPA from the higher-priority signal serves a universal function by being used to demodulate both the higher-priority and lower-priority signals. This multi-functional use of a single CPA reduces the need for multiple separate CPA configurations, simplifying the overall system complexity while maintaining demodulation capability for multiple signals.
3Reliability
If CPA selection prioritizes higher-priority signals during overlaps, then demodulation reliability is improved, but lower-priority signal accuracy may deteriorate
Solution Approach 1:
The patent applies preliminary anti-action by proactively selecting the higher-priority signal's CPA before attempting to demodulate overlapping signals. This pre-selection prevents the complexity of handling multiple CPAs simultaneously and ensures that the most critical signal (higher-priority) maintains its demodulation reliability, while the lower-priority signal accepts the compromise in accuracy.
Data Source
AI summary
A system and method for determining a channel property assumption (CPA) for signal reception are disclosed herein. In an embodiment, a method performed by a communication device includes: associating each of multiple signals with at least one associated CPA, wherein the multiple signals are at least partially overlapped in a time domain; selecting at least one CPA based on a selection rule, the at least one selected CPA is selected from a set of CPAs, and the set of CPAs includes the at least one associated CPA associated with each of the multiple signals; and receiving at least one signal of the multiple signals from a communication node based on the at least one selected CPA.