Dynamic Scheduling Interval Adjustment for Wireless Resource Allocation
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Solution Overview
Problem
Current wireless communication systems, such as LTE, face inefficiencies in resource allocation due to the semi-persistent scheduling technique's failure to consider the dynamic channel status of user equipment, leading to unnecessary overhead and suboptimal data transmission.
Innovation Solution
A method and apparatus for determining a packet scheduling interval based on quality of service (QoS) information and channel status associated with user equipment, which includes obtaining QoS information, estimating channel status, and computing a scheduling interval that satisfies transmission rate and delay conditions, thereby optimizing uplink and downlink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If semi-persistent scheduling (SPS) technique is used for resource assignment, then resource allocation efficiency is improved for constant data transmission services, but the system cannot adapt to dynamic channel status changes leading to suboptimal transmission performance
Solution Approach 1:
The patent applies dynamics by transitioning from static SPS intervals to dynamic scheduling intervals that adapt to channel conditions. The base station determines scheduling intervals based on real-time channel status information and QoS requirements, allowing the system to adjust resource allocation dynamically while maintaining the efficiency benefits of persistent scheduling for constant data transmission services.
Solution Approach 2:
The patent changes the parameter of scheduling interval from fixed to variable based on channel status. By introducing channel status information and QoS parameters as determinants of scheduling interval selection, the system can optimize transmission performance across different channel conditions while maintaining resource allocation efficiency.
2Device complexity
If fixed scheduling intervals are used in SPS, then overhead is reduced through simplified resource assignment, but transmission performance deteriorates when channel conditions change
Solution Approach 1:
The patent introduces dynamic adjustment of scheduling intervals based on channel status feedback. The base station monitors channel conditions and adjusts scheduling intervals accordingly, maintaining low overhead through automated decision-making while improving transmission reliability by adapting to changing channel conditions.
Solution Approach 2:
The patent implements feedback mechanisms where channel status information is collected and used to determine optimal scheduling intervals. This feedback loop allows the system to maintain simplified resource assignment procedures while improving transmission performance through data-driven scheduling decisions based on actual channel conditions.
3Ease of operation
If SPS assigns resources without considering channel status, then resource allocation is simplified and overhead is minimized, but data transmission efficiency decreases
Solution Approach 1:
The patent enables the system to self-adjust scheduling intervals based on channel status information and QoS requirements. The base station automatically determines optimal intervals without complex manual configuration, maintaining ease of operation while improving data transmission efficiency through adaptive resource allocation based on actual channel conditions.
Data Source
AI summary
The disclosure is related to performing a packet scheduling in a wireless communication network. Quality of service (QoS) information associated with user equipment may be obtained in the wireless communication network. A channel status associated with the user equipment may be estimated in the wireless communication network. A scheduling interval may be determined based on the QoS information and the channel status.