Multi-band Scheduling for Frame Allocation in Communication Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In communication systems using multiple frequency bands, existing methods are inefficient in allocating frames due to varying quality of service (QoS) and channel states across bands, which affects communication reliability and frequency resource utilization.
Innovation Solution
A multi-band scheduling method that designates at least two frequency bands, predicts user channel states, and determines the frequency band for each frame based on its significance, QoS, delay, and traffic characteristics, allowing frames within a single session queue to be allocated to different frequency bands to maximize efficiency and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If frames are randomly allocated to frequency bands, then allocation simplicity is maintained, but communication reliability and resource utilization efficiency deteriorate
Solution Approach 1:
The patent changes the allocation parameter from random assignment to systematic assignment based on frame characteristics (QoS requirements, delay sensitivity, traffic type) and channel conditions. This parameter transformation enables differentiated allocation strategies that improve communication reliability while maintaining operational feasibility through automated decision-making rules.
Solution Approach 2:
The patent applies local quality by assigning different frequency bands to different frames based on their specific requirements. High-priority frames with strict QoS requirements are allocated to frequency bands with better channel conditions, while lower-priority frames can use bands with poorer conditions. This localized optimization approach improves overall system reliability without requiring complete reconfiguration of the allocation mechanism.
2Device complexity
If all frames are allocated to a single frequency band, then allocation complexity is reduced, but frequency resource utilization efficiency deteriorates
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands and further segments the frame allocation process by categorizing frames based on their characteristics (QoS, delay requirements, traffic type). This segmentation enables parallel processing of allocation decisions for different frame categories, improving resource utilization efficiency while keeping individual allocation rules relatively simple and manageable.
Solution Approach 2:
The patent introduces dynamic allocation where the frequency band assignment for each frame is determined based on real-time channel conditions and frame-specific requirements. This dynamic approach allows the system to adapt to changing conditions and maximize resource utilization efficiency, while the use of predefined allocation rules and automated decision-making keeps the operational complexity at acceptable levels.
3Ease of operation
If frames with different QoS requirements are allocated without differentiation, then allocation simplicity is maintained, but service quality and reliability deteriorate
Solution Approach 1:
The patent transforms the allocation approach by incorporating frame characteristic parameters (QoS requirements, delay sensitivity, traffic type) into the decision-making process. This parameter enrichment enables differentiated allocation that precisely matches frame requirements with appropriate frequency bands, improving service quality precision while maintaining operational simplicity through automated rule-based assignment.
Solution Approach 2:
The patent applies local quality by tailoring the frequency band allocation to each frame's specific QoS requirements. Frames with high QoS requirements are allocated to frequency bands with better channel conditions and lower interference, while frames with lower QoS requirements can tolerate poorer conditions. This localized optimization ensures that each frame receives the appropriate level of service quality without requiring manual intervention.
Data Source
AI summary
A multi-band scheduling method determines frequency bands for each of a plurality of frames existing in a single session queue from among a plurality of frequency bands based on data characteristics of each of the plurality of frames. In particular, the multi-band scheduling method may assign a frame with a high significance to a frequency band having a superior channel state, thereby increasing communication reliability. Also, a broadcasting service system may use the multi-band scheduling method to effectively provide the broadcasting services.