Uplink Resource Allocation for VoIP Traffic
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for establishing uplink resources for VoIP calls in wireless telecommunications networks require a four-step process, which can be inefficient, especially during silent periods, as they often lead to resource re-establishment and may not adapt well to varying channel conditions.
Innovation Solution
A modified method where a user equipment (UE) sends a scheduling request to an enhanced node B (ENB), which grants a minimum resource capacity based on expected VoIP packet payload and channel conditions, allowing for semi-persistent scheduling if the packet is VoIP, or dynamic scheduling if not, optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional four-step resource establishment process is used, then resource allocation can be established, but the process is inefficient and causes resource re-establishment during silent periods
Solution Approach 1:
The patent applies preliminary action by pre-establishing a minimum resource capacity threshold before actual data transmission occurs. The eNodeB pre-calculates and allocates a baseline resource level based on expected VoIP packet payload and channel conditions, so that when data needs to be transmitted, the resource is already prepared and无需 re-establishment, thereby eliminating the inefficient four-step process and reducing establishment time.
Solution Approach 2:
The patent implements dynamics by introducing a flexible resource allocation mechanism that can adapt between minimum resource capacity (for silent periods) and dynamic resource adjustment (for talk spurts). The system dynamically switches between semi-persistent scheduling for VoIP traffic and traditional dynamic scheduling for other traffic types, optimizing resource allocation efficiency based on real-time traffic conditions rather than using a fixed four-step process.
2Adaptability or versatility
If minimum resource capacity is granted based on expected payload and channel conditions, then resource allocation adapts to varying conditions, but the complexity of determination increases
Solution Approach 1:
The patent applies parameter changes by adjusting the resource capacity determination based on two key parameters: expected data packet payload size and current channel conditions. The eNodeB modifies the minimum resource capacity allocation by varying these parameters, allowing the system to adapt to different traffic scenarios. This parameter-based approach provides adaptability while keeping the determination process systematic and manageable through standardized parameter evaluation.
3Productivity
If semi-persistent scheduling is used for VoIP packets, then resource allocation is optimized for voice traffic, but the differentiation between traffic types becomes more complex
Solution Approach 1:
The patent applies segmentation by dividing traffic into distinct categories: VoIP traffic and non-VoIP traffic. This segmentation allows the eNodeB to apply different scheduling mechanisms to each segment - semi-persistent scheduling for VoIP packets to optimize voice communication efficiency, and traditional dynamic scheduling for other traffic types. The segmentation approach simplifies the differentiation process by using clear traffic identification criteria rather than complex continuous analysis.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A component 20 in a telecommunications network including a processor 582 configured, responsive to receiving a scheduling request from a user equipment (UE) 10, to grant a minimum level of resource capacity to the UE 10 for an uplink transmission from the UE 10 to the component 20. The processor 582 further configured to determine the minimum level of resource capacity based on an expected data packet payload and on a condition of a communications channel between the component 20 and the UE 10.