Consecutive Resource Block Selection in Fragmented Frequency Bands
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Solution Overview
Problem
Existing methods for selecting consecutive resource blocks (RBs) in mobile communication systems, particularly for uplink transmissions, fail to jointly determine the optimal size and position of RBs, leading to suboptimal results due to fragmentation of the frequency band and inability to distinguish between buffer size and RB limited cases, resulting in inefficient data transmission.
Innovation Solution
A method that determines the minimum and maximum possible window sizes for each fragment of the frequency band, identifies candidate fragments by intersecting reference window size ranges, and searches through these fragments to select the minimum number of consecutive RBs sufficient to empty the transmission buffer, reducing complexity and achieving optimal results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing methods select consecutive RBs without jointly determining size and position, then the selection process is simpler, but the transmission efficiency deteriorates due to suboptimal RB selection
Solution Approach 1:
The patent segments the frequency band into multiple fragments and divides the RB selection process into distinct stages: fragment identification, window size determination, and RB selection within fragments. This segmentation allows the system to handle the complex joint optimization of size and position by breaking it down into manageable sub-problems, thereby improving transmission efficiency without overwhelming system complexity
Solution Approach 2:
The patent performs preliminary actions by first determining minimum and maximum window sizes before selecting actual RBs. It pre-identifies candidate fragments and establishes size constraints in advance, which guides the subsequent RB selection process. This preliminary structuring enables efficient joint optimization of RB size and position while maintaining a systematic and manageable selection procedure
2Measurement precision
If the frequency band is fragmented and existing methods do not account for fragmentation, then the frequency band utilization is simpler, but the RB selection accuracy deteriorates leading to suboptimal transmission
Solution Approach 1:
The patent explicitly segments the frequency band into multiple fragments to account for fragmentation. By identifying and selecting from specific fragments based on quality metrics, the system achieves accurate RB selection that adapts to fragmented band structures. This segmentation approach transforms the complexity of fragmented band handling into a structured multi-stage process that improves selection accuracy
Solution Approach 2:
The patent applies local quality assessment by evaluating different fragments and RBs within fragments based on their specific qualities (SINR, SNR, ERBs). Instead of treating the entire frequency band uniformly, it identifies high-quality local regions (fragments and RBs) for selection, thereby achieving accurate RB selection in fragmented environments through quality-driven local optimization
3Productivity
If existing methods do not distinguish between buffer size limited and RB limited cases, then the system operation is simpler, but the transmission optimization deteriorates
Solution Approach 1:
The patent introduces dynamic adaptation by distinguishing between buffer size limited and RB limited cases and adjusting the selection strategy accordingly. In buffer limited cases, it optimizes for minimum RBs to empty the buffer, while in RB limited cases, it maximizes data transmission using available RBs. This dynamic case distinction enables transmission optimization adapted to different operational scenarios while maintaining manageable system complexity through clear case-based logic
Solution Approach 2:
The patent changes key parameters (target objective, selection criteria) based on the identified case type. For buffer limited cases, it targets minimizing RB count to clear the buffer; for RB limited cases, it targets maximizing transmitted data volume. These parameter changes enable optimized transmission for each scenario while the case distinction framework keeps the overall system operation structured and manageable
Data Source
AI summary
The present disclosure discloses a method for selecting consecutive resource blocks (RBs) on an available frequency band and an associated base station (BS). The method comprises the step of determining a minimum possible window size and a maximum possible window size for each of selected fragments of the frequency band (S210), wherein all RBs on a selected fragment together are sufficient to empty a transmission buffer. The method further comprises the step of determining candidate fragments to be searched through (S220), by defining a reference window size range by a minimum value of minimum possible window sizes of the selected fragments and a minimum value of maximum possible window sizes of the selected fragments and determining a selected fragment, whose window size range defined by its minimum possible window size and maximum possible window size intersects with the reference window size range, as one of the candidate fragments. The method also comprises the step of searching through the candidate fragments using window sizes which fall within the reference window size range to select a minimum number of consecutive RBs sufficient to empty data stored in the transmission buffer (S240).