Intelligent Resource Block Allocation for Cell-Edge MPR Mitigation
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Solution Overview
Problem
Existing wireless communication systems fail to optimally allocate resource blocks in radio frequency spectrum bands, leading to increased maximum power reduction (MPR) that affects coverage and throughput, especially for devices near the cell edge or requiring critical services, due to random allocation methods that do not consider physical location, channel types, or service requirements.
Innovation Solution
Intelligently allocate resource blocks based on the likelihood of maximum power reduction impact by determining the proximity of user devices to the cell edge, service requirements, and channel types, prioritizing devices closer to the cell edge with resource blocks closer to the middle of the spectrum band and reserving those closer to the ends for devices with greater power headroom or critical services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If resource blocks are allocated randomly without considering device location or service requirements, then allocation simplicity is maintained, but maximum power reduction impact increases and service quality deteriorates
Solution Approach 1:
The patent applies local quality by differentiating resource block allocation based on the specific needs of user equipment. Devices near cell edges or requiring critical services receive resource blocks in the middle of the spectrum band with lower MPR, while devices with greater power headroom receive resource blocks closer to the band edges. This localized differentiation resolves the contradiction by maintaining operational simplicity through automated rules while improving service quality through targeted allocation.
Solution Approach 2:
The patent changes the allocation parameter from random selection to selection based on spectrum position and device characteristics. By considering the spectral location of resource blocks and matching them to device power capabilities and service requirements, the system resolves the contradiction between allocation simplicity and service quality through intelligent parameter-based differentiation.
2Productivity
If resource blocks closer to the ends of the spectrum band are allocated to all devices, then spectrum utilization is maximized, but devices near cell edges experience increased maximum power reduction and coverage loss
Solution Approach 1:
The patent applies local quality by allocating resource blocks with different spectral positions to different user equipment based on their specific needs. Devices near cell edges or requiring critical services receive resource blocks in the middle of the spectrum band where MPR is minimized, ensuring adequate coverage. Meanwhile, devices with greater power headroom receive resource blocks closer to the band edges, maximizing spectrum utilization. This resolves the contradiction by locally optimizing allocation for each device type.
Solution Approach 2:
The patent segments the resource block allocation strategy into different categories based on device characteristics and service requirements. By dividing the allocation approach into segments (critical services vs. non-critical services, cell-edge devices vs. center devices), the system can simultaneously achieve high spectrum utilization and adequate coverage for different device groups, resolving the overall contradiction.
3Device complexity
If maximum power reduction is applied uniformly across all resource blocks, then implementation simplicity is maintained, but devices with critical services experience degraded throughput and quality
Solution Approach 1:
The patent applies local quality by differentiating MPR application based on the spectral position of allocated resource blocks and the specific needs of user equipment. Instead of uniform MPR application, the system applies differentiated MPR levels: devices receiving resource blocks in the middle of the spectrum band experience minimal MPR, while devices receiving resource blocks near band edges experience higher MPR. This resolves the contradiction by maintaining implementation feasibility through automated rules while protecting critical services through localized MPR optimization.
Solution Approach 2:
The patent applies preliminary action by determining device characteristics, service requirements, and optimal resource block positions before allocation occurs. The base station proactively identifies which devices need protection from MPR and pre-selects appropriate resource blocks, thereby resolving the contradiction between implementation simplicity and throughput performance through advance planning and differentiation.
4Speed
If resource blocks are allocated without considering device power capabilities, then allocation speed is maintained, but devices near cell edges experience increased interference and signal distortion
Solution Approach 1:
The patent applies local quality by matching resource block spectral positions to device power capabilities and locations. Devices near cell edges or with limited power capabilities receive resource blocks in the middle of the spectrum band where MPR is minimized, reducing interference and distortion. This automated differentiation resolves the contradiction by maintaining allocation speed through rule-based selection while reducing harmful effects through targeted spectral positioning.
Data Source
AI summary
A method for intelligently allocating resource blocks of a radio frequency spectrum band includes detecting a presence of a plurality of user endpoint devices within a cell of a radio access network, wherein the plurality of user endpoint devices includes a first user endpoint device and a second user endpoint device, identifying a plurality of resource blocks of the cell that are available for allocation to the plurality of user endpoint devices, wherein the plurality of resource blocks includes a first resource block and a second resource block that is located closer to an end of a radio frequency spectrum band of the cell than the first resource block, determining that the first user endpoint device is more likely than the second user endpoint device to be negatively impacted by maximum power reduction, and allocating, in response to the determining, the first resource block to the first user endpoint device.