Wireless Node Channel Quality Reporting for Transmission Adaptation
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in resource allocation due to inconsistent interpretation and use of channel quality information (CQI) for adjusting transmission parameters, leading to suboptimal performance in wireless networks.
Innovation Solution
A method where wireless nodes measure channel quality for multiple resources, determine proposed resources and transmission parameters based on this quality, and report these to infrastructure nodes, ensuring accurate allocation and adjustment of wireless resources for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If channel quality information is reported using existing methods (best-M or threshold CQI), then channel quality data is provided to the scheduler, but the information is interpreted inconsistently across different nodes leading to suboptimal transmission parameter selection
Solution Approach 1:
The patent introduces an intermediary mapping mechanism that translates channel quality information into transmission parameter recommendations through predefined lookup tables. This intermediary layer ensures consistent interpretation across different nodes by providing a standardized translation process, eliminating the inconsistency problem where different nodes interpreted CQI differently.
Solution Approach 2:
The patent changes the parameter representation by transforming channel quality metrics into specific transmission parameter recommendations (modulation schemes, coding rates, resource block allocations) based on the number of resource blocks. This parameter transformation ensures that the same channel quality information leads to consistent transmission parameter selections across different nodes.
2Productivity
If higher order modulation schemes are used to improve data transmission rate, then spectral efficiency increases, but the system becomes more sensitive to channel conditions and requires more precise channel quality information
Solution Approach 1:
The patent implements dynamic adaptation of transmission parameters based on real-time channel quality measurements and the number of resource blocks allocated. The system dynamically selects modulation schemes and coding rates that optimize both throughput and reliability for the current channel conditions, allowing higher order modulations when channel quality and resource availability support them while maintaining reliability when conditions are poorer.
Solution Approach 2:
The patent employs feedback mechanisms where the wireless node reports channel quality information and receives transmission parameter recommendations from the infrastructure node. This closed-loop feedback system allows the transmission parameters to be continuously adjusted based on actual channel conditions, enabling the system to safely use higher order modulation schemes when conditions permit while maintaining reliability through adaptive adjustments.
3Adaptability or versatility
If the infrastructure node determines transmission parameters centrally based on reported CQI, then scheduling flexibility is improved, but the likelihood of under or overestimation increases due to inconsistent CQI interpretation
Solution Approach 1:
The patent applies preliminary action by pre-defining mapping relationships between channel quality information, resource block counts, and transmission parameters in lookup tables. This preliminary preparation ensures that when the infrastructure node needs to determine transmission parameters, it can quickly and accurately retrieve pre-computed recommendations rather than performing complex real-time calculations, thereby maintaining both scheduling flexibility and estimation accuracy.
Solution Approach 2:
The patent transforms the CQI interpretation problem into a parameter mapping problem by establishing predefined relationships between channel quality metrics, resource block allocations, and transmission parameters. This parameter transformation approach eliminates inconsistent interpretation while preserving scheduling flexibility, as the mapping can be dynamically adjusted based on network conditions and requirements.
Data Source
AI summary
Various example embodiments are disclosed relating to transmission adaptation in a wireless network. According to another example embodiment, an apparatus may include a processor. The processor may be configured to measure a channel quality for a plurality of wireless resources (e.g., physical resource blocks), determine one or more proposed resources based on the measured channel quality for the wireless resources, determine at least one proposed transmission parameter based on a number of the proposed wireless resources and the channel quality of the proposed wireless resources, and send a report to an infrastructure node, the report including the at least one proposed transmission parameter and identifying the proposed wireless resources.