eNodeB Logical Channel Aggregation for 5G Resource Management
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Solution Overview
Problem
In 5G networks, managing resources at the eNodeB is challenging due to the large number of devices connected, and the number of logical channels created is dependent on available resources, leading to inefficient resource allocation and increased power consumption during reduced workload periods.
Innovation Solution
A method that monitors platform queues for DTCH requests, identifies underutilized processor cores, reallocates logical channels to active cores, and puts underutilized cores into sleep mode to optimize resource utilization and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple logical channels are created over a single radio bearer network to enable parallelism and reduce exclusive locking, then network performance and bandwidth are improved, but the number of resources to manage increases and resource allocation becomes inefficient
Solution Approach 1:
The patent combines multiple logical channels into a single managed entity at the eNodeB level. Instead of managing each logical channel independently, the system aggregates them and allocates resources based on the combined workload, reducing management complexity while preserving the parallelism benefits
Solution Approach 2:
The system dynamically adjusts the number of active processor cores based on real-time workload conditions. During high workload periods, more cores are activated to handle multiple logical channels; during low workload periods, cores are deactivated to reduce complexity and power consumption
2Reliability
If processor cores are kept active to handle DTCH requests, then network responsiveness is maintained, but power consumption increases during reduced workload periods
Solution Approach 1:
The system dynamically adjusts the number of active processor cores based on real-time workload conditions. During high workload periods, more cores are activated to maintain responsiveness; during low workload periods, cores are deactivated to reduce power consumption
Solution Approach 2:
The eNodeB continuously monitors the workload on processor cores and uses this feedback to adjust the number of active cores. This closed-loop control ensures that power consumption is optimized while maintaining network responsiveness based on actual demand
3Productivity
If resources are allocated to handle peak workload, then network performance is maintained, but resource waste occurs during low workload periods
Solution Approach 1:
The system dynamically adjusts the number of active processor cores based on real-time workload conditions. During high workload periods, more cores are activated to maintain performance; during low workload periods, cores are deactivated to eliminate resource waste
Solution Approach 2:
The system proactively adjusts resource allocation based on predicted workload patterns. By monitoring trends and preparing for upcoming workload changes, the system prevents resource waste before it occurs while ensuring performance is ready when needed
Data Source
AI summary
Resource load balancing for eNodeB includes identifying reduced workload conditions for an underutilized processor (CPU) core and transferring dedicated traffic channel (DTCH) communication to a target CPU core. Upon migrating each DTCH from the selected CPU core, the underutilized CPU core is caused to go into sleep mode, not to receive DTCH request until activated.