Wireless Access Node Selective Scheduling for Network Capacity
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Solution Overview
Problem
Current wireless network resource allocation methods, such as persistent and dynamic scheduling, face limitations in efficiently managing resources based on varying conditions like the number of voice and data services, leading to suboptimal performance and capacity issues.
Innovation Solution
A system and method for selective resource allocation in wireless networks that determines the percentage of data and voice services used and dynamically selects between persistent and dynamic allocation schemes based on thresholds, optimizing resource utilization and throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If persistent scheduling is used, then resource allocation overhead is reduced, but adaptability to varying service conditions deteriorates
Solution Approach 1:
The system dynamically selects between persistent scheduling and dynamic scheduling based on real-time service conditions. When data service percentage exceeds the threshold, dynamic scheduling is applied to adapt to varying conditions; when it remains below the threshold, persistent scheduling is used to reduce control channel overhead.
2Adaptability or versatility
If dynamic scheduling is used, then adaptability to service conditions is improved, but control channel overhead increases
Solution Approach 1:
The system changes the scheduling parameter (from persistent to dynamic) based on the data service percentage threshold. This parameter change allows the system to adapt control channel usage to current network conditions, reducing overhead when possible while maintaining adaptability when needed.
3Loss of energy
If semi-persistent scheduling is used, then a balance between overhead and adaptability is achieved, but responsiveness to rapid condition changes deteriorates
Solution Approach 1:
The system implements dynamic selection between scheduling types, allowing rapid response to changing service conditions. When data service percentage crosses the threshold, the system immediately switches from persistent to dynamic scheduling, providing faster responsiveness compared to fixed semi-persistent approaches.
4Device complexity
If a fixed allocation scheme is used, then system complexity is reduced, but network performance under varying conditions deteriorates
Solution Approach 1:
The system changes scheduling parameters based on data service percentage thresholds. This allows the system to maintain simple persistent scheduling during stable conditions while switching to dynamic scheduling when performance optimization is needed, balancing complexity and productivity.
Data Source
AI summary
Systems, methods, and processing nodes are related to selective resource allocation in a wireless network. An exemplary method includes determining, at an access node, wireless services utilized by a plurality of wireless devices connected to the access node. The wireless services include a first type of wireless service and a second type of wireless service. The method also includes determining whether a first percentage of the plurality of wireless devices utilizing the first type of wireless service relative to the second type of wireless service is greater than or equal to a service type threshold. The method also includes selecting a dynamic allocation scheme if the first percentage of the plurality of wireless devices utilizing the first type of wireless service relative to the second type of wireless service is greater than or equal to the service type threshold.