Dynamic Receiver Selection for UE Power and Throughput Balance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face challenges in managing power consumption and network performance due to the use of different demodulation algorithms, with more accurate algorithms consuming higher power and less accurate ones compromising throughput and spectral efficiency.
Innovation Solution
A network node dynamically selects receiver types, such as demodulation algorithms, based on channel conditions to optimize power consumption and performance by using more powerful algorithms for poor channel conditions and less powerful ones for better conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If more accurate demodulation algorithms are used, then throughput and spectral efficiency are improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic receiver type selection where the network node chooses different demodulation algorithms based on real-time channel conditions. The system transitions from static algorithm selection to dynamic adaptation, selecting more powerful algorithms only when channel conditions deteriorate below a threshold, thereby optimizing the balance between throughput and power consumption.
Solution Approach 2:
The system changes the parameter of receiver type (demodulation algorithm) based on channel condition parameters. By monitoring channel quality and comparing it against thresholds, the system adjusts the complexity of the demodulation algorithm to match current conditions, reducing power consumption when high accuracy is not required while maintaining throughput when conditions are poor.
2Productivity
If more accurate demodulation algorithms are used, then spectral efficiency is improved, but power consumption increases
Solution Approach 1:
The system dynamically adapts the demodulation algorithm complexity based on channel conditions. By making the receiver type selection dynamic rather than static, the system achieves high spectral efficiency only when channel conditions warrant it, while conserving power during periods of good channel quality.
Solution Approach 2:
The system modifies the receiver configuration parameter based on channel condition measurements. When channel quality exceeds a threshold, simpler demodulation algorithms are used; when conditions deteriorate, more accurate algorithms are selected, thus optimizing spectral efficiency relative to power consumption.
3Use of energy by moving object
If less accurate demodulation algorithms are used, then power consumption is reduced, but throughput deteriorates
Solution Approach 1:
The system employs feedback mechanisms where the network node monitors channel conditions and uses this information to select appropriate demodulation algorithms. This feedback loop ensures that simpler algorithms are used only when channel conditions are sufficiently good, preventing throughput deterioration while achieving power consumption reduction.
Solution Approach 2:
The receiver type parameter is adjusted based on channel condition feedback. The system changes from using always-complex algorithms to conditionally selecting algorithm complexity, ensuring throughput is maintained above acceptable levels while reducing power consumption when high accuracy is not necessary.
4Use of energy by moving object
If less accurate demodulation algorithms are used, then power consumption is reduced, but spectral efficiency deteriorates
Solution Approach 1:
Through feedback on channel conditions, the system determines when it is safe to use less accurate demodulation algorithms. The feedback mechanism ensures that spectral efficiency deterioration is avoided by selecting simpler algorithms only when channel conditions support them, thus achieving power reduction without significant performance loss.
Solution Approach 2:
The system dynamically changes the receiver configuration parameter based on channel quality feedback. By adjusting algorithm complexity to match channel conditions, the system reduces power consumption while maintaining spectral efficiency above acceptable thresholds, avoiding the deterioration that would occur with consistently using simple algorithms.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a network node, supported receiver type information including a list of one or more receiver types supported by the UE. The UE may receive, from the network node, an indication of one or more selected receiver types, from the one or more receiver types supported by the UE, to be used for receiving one or more portions of a downlink communication. The UE may receive, from the network node, the one or more portions of the downlink communication using the one or more selected receiver types. Numerous other aspects are described.