Radio Link Quality Prediction in Wireless Networks
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Solution Overview
Problem
Wireless networks face inefficiencies in resource usage and capacity due to the establishment of dedicated channels for intermittent data transfers, leading to increased latency and resource occupation, even when channels are idle.
Innovation Solution
A method to determine radio link quality on a secondary channel without receiving the secondary signal by predicting a signal quality metric using received signal strength and interference level, allowing for the identification of radio link quality state and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a dedicated channel is established before user data arrives, then data transfer latency is reduced, but code resources are occupied even when no data is being transferred
Solution Approach 1:
The system dynamically establishes dedicated channels only when user data is actually available for transfer, rather than maintaining static dedicated channels continuously. The mobile terminal monitors control channels and establishes dedicated channels on-demand, allowing the system to adapt channel allocation to actual data transfer needs, thereby reducing code resource occupation during idle periods while maintaining low latency when data is present
Solution Approach 2:
The system changes the state of dedicated channels from continuously established to conditionally established based on data availability parameters. By monitoring control channel information and only establishing dedicated channels when user data is present, the system adjusts the channel establishment parameter dynamically, reducing code resource consumption while maintaining efficient data transfer when needed
2Reliability
If a dedicated channel is established for each mobile terminal, then link quality can be monitored, but system capacity is reduced due to idle channel occupation
Solution Approach 1:
The system dynamically monitors link quality only on active dedicated channels established when data is present, rather than continuously monitoring idle dedicated channels. The mobile terminal monitors control channels for data allocation information and establishes dedicated channels only when needed, thereby maintaining reliable link quality monitoring for active connections while reducing overall system resource occupation to improve capacity
Solution Approach 2:
The system extracts the link quality monitoring function from idle dedicated channels and applies it only to active channels where data transfer occurs. By removing the monitoring requirement from inactive channels, the system eliminates unnecessary resource occupation while preserving the ability to monitor and manage link quality for actually used channels
3Productivity
If downlink channels are allocated for intermittent data transfers, then data can be transmitted efficiently, but code resources are wasted when channels are idle
Solution Approach 1:
The system dynamically allocates downlink dedicated channels based on actual data transfer needs rather than maintaining fixed allocations. The mobile terminal monitors control channel information and requests dedicated channels only when user data is available, allowing the system to allocate code resources dynamically to active data transfers while leaving resources available for other users during idle periods
Solution Approach 2:
The system changes the channel allocation parameter from static pre-allocated to dynamic on-demand allocation. By monitoring data availability parameters and only establishing dedicated downlink channels when user data is present, the system optimizes code resource utilization, allocating resources efficiently when needed and releasing them when idle to improve overall system productivity
Data Source
AI summary
A method of determining a radio link quality state in a wireless communication system by predicting a signal quality metric of a secondary channel in the absence of the second signal. The predicted signal quality metric may be determined from a received reference signal on a first channel and a measured interference level of the second channel.