5G Resource Scheduler Buffer Bandwidth Allocation
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Solution Overview
Problem
Current 5G network schedulers do not efficiently utilize spectrum resources, leading to suboptimal allocation of resources to user equipment (UEs) based on their buffer sizes and channel bandwidths, which affects throughput and latency.
Innovation Solution
Implementing a resource scheduler that dynamically allocates resources by comparing UE buffer status reports with available spectrum resource channel bandwidths, allowing UEs with larger data buffers to be assigned wider bandwidth channels, thereby optimizing spectrum utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If current 5G network schedulers allocate resources without considering UE buffer sizes and channel bandwidths, then device complexity is reduced, but spectral efficiency deteriorates
Solution Approach 1:
The scheduler performs preliminary comparison between UE buffer status reports and available spectrum resource channel bandwidths before allocating resources. This advance assessment allows the system to pre-determine optimal resource assignments based on buffer sizes and channel characteristics, improving spectral efficiency without significantly increasing operational complexity
Solution Approach 2:
The scheduler dynamically adjusts resource allocation parameters by matching UE buffer sizes with appropriate channel bandwidths. UEs with larger data buffers are assigned wider bandwidth channels, while UEs with smaller buffers receive narrower channels. This parameter-based allocation optimizes spectral efficiency by adapting resource distribution to actual network conditions
2Ease of operation
If resources are allocated without dynamic comparison of buffer status and channel bandwidth, then ease of operation is improved, but throughput deteriorates
Solution Approach 1:
The system dynamically changes allocation parameters by comparing UE buffer status reports with available spectrum resource channel bandwidths. This parameter-based approach automatically adjusts resource distribution to match actual data volumes and channel conditions, improving throughput while maintaining operational simplicity through rule-based allocation
Solution Approach 2:
The scheduler utilizes feedback from UE buffer status reports to make informed resource allocation decisions. By continuously monitoring buffer sizes and comparing them with available channel bandwidths, the system adapts resource distribution in real-time, enhancing throughput without requiring complex manual intervention
3Loss of energy
If UEs with larger data buffers are assigned wider bandwidth channels, then spectral efficiency is improved, but device complexity increases
Solution Approach 1:
The scheduler implements a parameter-based allocation strategy where UE buffer sizes directly determine assigned channel bandwidths. This straightforward mapping relationship (larger buffers → wider channels) simplifies the decision logic while achieving spectral efficiency improvements, as the complex comparison and matching processes are automated through defined parameters
Solution Approach 2:
The system performs preliminary matching of UE buffer characteristics with suitable channel bandwidths before resource allocation. By pre-establishing the relationship between buffer sizes and appropriate channel widths, the scheduler reduces real-time computational complexity while maintaining optimal spectral efficiency through pre-planned resource assignments
Data Source
AI summary
Spectral efficiency for a 5G network, or other next generation networks, can be increased via a resource scheduler of a network node. The resource scheduler can receive a first signal from a mobile device of a wireless network. The first signal can comprise resource request data representative of a first request for a resource of the wireless network. In response to receiving the first signal, the resource scheduler can transmit a second signal to the mobile device via a network device of the wireless network, wherein the second signal can comprise buffer status request data. The scheduler can receive a third signal from the mobile device, wherein the third signal can comprise buffer status data associated with the buffer, and based on comparing bandwidth data to the buffer status data, the scheduler can assign the resource channel to the mobile device.