Load-Aware Periodic Resource Allocation for Wireless Networks
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Solution Overview
Problem
Existing wireless communication networks face inefficiencies in managing periodic resource allocation due to static configurations that do not adapt to the time-varying nature of user load, leading to over-provisioning and suboptimal resource utilization.
Innovation Solution
Dynamic adjustment of periodic resource periodicity based on the success of resource allocation, using controllers like PID to optimize resource allocation and minimize blocking probability, with mechanisms to update periodicity based on user types and load conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static periodic resource allocation is used, then device complexity is reduced and ease of operation is improved, but resource utilization efficiency deteriorates and blocking probability increases
Solution Approach 1:
The patent implements dynamic periodicity adjustment where the network node continuously monitors resource allocation success rates and adjusts the periodicity of periodic resources accordingly. This transforms the static resource allocation into a dynamic system that adapts to changing load conditions, resolving the contradiction between operational simplicity and resource utilization efficiency.
Solution Approach 2:
The system employs feedback mechanisms by monitoring whether periodic resource allocations are successful or blocked, and using this information to adjust future allocation periodicity. This closed-loop control enables the system to learn from past allocation outcomes and optimize resource utilization without increasing operational complexity.
2Quantity of substance
If higher periodicity is chosen, then more resources are available to support more users, but latency increases and WD benefit decreases
Solution Approach 1:
The patent dynamically adjusts periodicity based on actual load conditions rather than using fixed high periodicity. When load is low, higher periodicity provides more resources; when load is high, periodicity is reduced to decrease latency. This dynamic adaptation resolves the contradiction between resource quantity and latency.
Solution Approach 2:
The system changes the periodicity parameter based on monitored allocation success rates and load conditions. By adjusting this key parameter, the system can optimize the balance between having sufficient resources available and maintaining low latency for time-sensitive operations.
3Loss of time
If lower periodicity is chosen, then latency is reduced and WD benefit increases, but fewer resources are available and blocking probability increases
Solution Approach 1:
The system dynamically selects periodicity based on current load rather than using fixed low periodicity. When load is high, lower periodicity reduces latency and improves WD benefit; when load is low, periodicity increases to provide more resources. This resolves the contradiction between latency and resource availability.
4Productivity
If resource periodicity is changed, then resource allocation is optimized for current conditions, but assignment cost increases equivalent to assigning a new resource
Solution Approach 1:
The patent applies partial action by adjusting periodicity only when necessary based on monitored performance metrics. Rather than continuously changing parameters, the system adjusts periodicity selectively to achieve optimization while minimizing the frequency and cost of reconfiguration operations.
Data Source
AI summary
A method for a network node for adjusting a periodicity of periodic resources allocated to a wireless device (WD) in a wireless network. The periodicity defines a period of time between periodic resources allocated to the WD. A periodic resource is allocated to the WD to be used by the WD to transmit data to the network node, where the allocation is based at least in part on a periodicity. The method includes determining whether the allocation of the periodic resource to the WD is one of successful and not successful based on whether there is an available resource having the periodicity of the periodic resource. The periodicity of periodic resources is adjusted based on whether or not the allocation of the periodic resource to the WD is successful.