Semi-Persistent Scheduling Resource Allocation for Wireless Terminals
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Solution Overview
Problem
In wireless communication systems, especially in semi-persistent scheduling (SPS) for devices like UE in LTE-A, there is a challenge in efficiently allocating resources due to the unpredictability of traffic generation timing, particularly for vehicles where signal periodicity changes with speed and direction, leading to inefficiencies and potential resource waste.
Innovation Solution
A method where the UE transmits traffic information to the network, including the pattern and timing of traffic generation, allowing the network to configure SPS resources optimally based on this information, and dynamically adjust SPS configurations to match actual traffic patterns, thereby improving resource utilization and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional SPS allocates resources periodically without knowing UE traffic generation timing, then resource allocation is simplified and signaling overhead is reduced, but resource allocation efficiency deteriorates and resources may be wasted when traffic generation does not match allocated timing
Solution Approach 1:
The patent introduces a feedback mechanism where the UE reports its traffic generation timing information to the base station. The base station uses this feedback to adjust and optimize SPS resource allocation timing, creating a closed-loop system that improves resource allocation efficiency while maintaining manageable complexity through automated adjustments.
Solution Approach 2:
The patent applies preliminary action by having the UE pre-report its traffic generation timing patterns to the base station before SPS resource allocation is finalized. This advance information allows the base station to proactively configure SPS resources that align with actual traffic needs, preventing resource waste before it occurs.
2Stability of the object's composition
If SPS resources are allocated based on fixed periodicity, then scheduling is simple and predictable, but adaptability to changing traffic patterns deteriorates, especially for vehicles with varying speed and direction
Solution Approach 1:
The patent implements dynamics by enabling the SPS configuration to be dynamically adjusted based on reported traffic generation timing. The base station can modify SPS resource allocation parameters in response to changing traffic patterns, allowing the system to transition from static periodic scheduling to adaptive scheduling that responds to vehicle speed and direction changes.
Solution Approach 2:
The patent applies parameter changes by allowing the base station to adjust SPS configuration parameters (such as resource timing and periodicity) based on the traffic generation timing information received from the UE. This enables the system to adapt resource allocation parameters to match actual traffic patterns while maintaining the structured nature of SPS.
3Loss of information
If SPS is used without traffic information, then signaling overhead between UE and network is reduced, but resource use anticipation capability deteriorates leading to inefficiency
Solution Approach 1:
The patent applies partial action by having the UE report only essential traffic generation timing information rather than complete traffic data. This selective reporting provides sufficient information for the base station to optimize SPS resource allocation without creating excessive signaling overhead, achieving a balance between information exchange and efficiency.
Data Source
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AI summary
Provided are a method for operating a terminal in accordance with semi-persistent scheduling (SPS) in a wireless communication system, and a terminal using the method. The method comprises: transmitting traffic information; receiving an SPS configuration determined on the basis of the traffic information; and transmitting a signal in at least one resource among resources conforming to the SPS configuration, wherein the traffic information notifies of a pattern of traffic generated by a terminal.