Wireless Scheduling Algorithm Minimum Resource Parameter
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Solution Overview
Problem
Current wireless communication systems do not efficiently account for power expenditure in scheduling algorithms, leading to wasteful power usage when processing little data, as they primarily focus on channel state and service data rate without considering economic factors like power consumption.
Innovation Solution
A method is introduced where a minimum resource parameter is signaled from communication units to the scheduler, representing the necessary channel resources for efficient data processing, calculated as a ratio of processed information bits to expended power, allowing for economic operation by ensuring only sufficient resources are allocated for data reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a scheduling algorithm allocates channel resources based on channel state and service data rate, then data transmission efficiency is improved, but power consumption increases due to processing little data with full resources
Solution Approach 1:
The patent introduces a minimum resource parameter that changes based on the actual data amount to be transmitted. When data amount is small, the minimum resource parameter reduces the allocated channel resources, directly addressing the power consumption issue while maintaining transmission efficiency for larger data amounts.
Solution Approach 2:
The scheduling algorithm dynamically adjusts resource allocation by incorporating the minimum resource parameter, which varies according to the data amount. This dynamic adjustment allows the system to optimize between transmission efficiency and power consumption based on real-time conditions.
2Productivity
If channel resources are allocated to ensure sufficient data processing capacity, then power expenditure increases, but data processing capability is maintained
Solution Approach 1:
The minimum resource parameter is calculated based on the ratio of processed information bits to expended power, creating a dynamic threshold that adjusts resource allocation to match actual processing needs, thereby reducing energy loss while maintaining necessary processing capability.
Solution Approach 2:
The scheduling algorithm uses feedback from the minimum resource parameter calculation to adjust resource allocation. The parameter reflects the actual data processing requirements, allowing the system to reduce power expenditure by allocating only the necessary resources rather than maintaining fixed high-capacity allocation.
3Loss of energy
If a minimum resource parameter is introduced to reduce power wastage, then economic operation is improved, but scheduling algorithm complexity increases
Solution Approach 1:
The minimum resource parameter is introduced as an additional scheduling criterion that modifies the resource allocation process. While this adds a parameter, it provides a clear mathematical basis (ratio of information bits to power expenditure) that guides resource allocation decisions, reducing power wastage through systematic rather than ad-hoc adjustments.
Data Source
AI summary
The invention concerns a method for performing a scheduling algorithm in a scheduler (120) of a wireless communication system, comprising the steps of obtaining from a communication unit (200) a minimum resource parameter, wherein said minimum resource parameter indicates a minimum of resources allocated to the communication unit in a scheduling frame to meet a resource constraint and scheduling allocation units for radio access to the communication unit in a scheduling frame in accordance with the minimum resource parameter. The invention also concerns a method performed in a communication unit of a wireless communication network for generating a minimum resource parameter used in a scheduling algorithm to schedule allocation units in a scheduling frame for radio access to the communication unit (200) in accordance with the minimum resource parameter, comprising the steps of calculating the minimum resource parameter based on a determination of the power expended for processing of the scheduling frame, and signaling the calculated minimum resource parameter to the scheduler.