Task Resource Scheduler for 5G PHY Processing

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Solution Overview

Problem

Current cloud infrastructure lacks the capability to support hard real-time requirements for physical layer (PHY) processing in wireless networks, necessitating improved techniques for resource scheduling and allocation to meet stringent timing deadlines.

Innovation Solution

A Task Resource Scheduler (TRS) is implemented to estimate and allocate processing resources based on transmission timing configurations, current workload, and user data traffic, allowing for predictive resource management to meet hard real-time deadlines while optimizing hardware utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If cloud infrastructure uses commercial off-the-shelf (COTS) computing systems for physical layer processing, then cost and energy consumption are reduced, but the capability to support hard real-time requirements deteriorates

Engineering Contradiction:

Improveenergy consumptionVSAvoidhard real-time requirement capability

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The system performs preliminary estimation of processing resources needed for PHY communications by analyzing transmission timing configurations, current workload, and scheduled user data traffic. This advance planning allows COTS systems to prepare and allocate resources before hard real-time deadlines occur, ensuring timing requirements are met while using energy-efficient commercial hardware

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The resource allocation system dynamically adjusts processing resource allocation based on varying workload conditions, transmission timing configurations, and traffic patterns. This dynamic adaptation allows COTS systems to optimize performance for hard real-time requirements when needed while maintaining energy efficiency during normal operation

Inventive Principle:

Principle #15Dynamics

2Ease of manufacture

If cloud infrastructure uses commercial off-the-shelf (COTS) computing systems for physical layer processing, then cost is reduced, but the capability to support hard real-time requirements deteriorates

Engineering Contradiction:

ImprovecostVSAvoidhard real-time requirement capability

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

By estimating processing resource needs in advance based on transmission timing configurations and scheduled traffic, the system enables cost-effective COTS hardware to meet hard real-time deadlines through proactive resource allocation rather than requiring expensive purpose-built hardware

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system changes operational parameters of COTS systems dynamically, adjusting processing resource allocation based on workload conditions and timing requirements, allowing commercial hardware to achieve reliable hard real-time performance through software-controlled parameter optimization

Inventive Principle:

Principle #35Parameter changes

3Reliability

If purpose-built hardware platforms are used for baseband units, then hard real-time requirements are met, but cost and energy consumption increase

Engineering Contradiction:

Improvehard real-time requirement capabilityVSAvoidenergy consumption

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The resource estimation and allocation system enables COTS hardware to self-manage its processing resources efficiently, automatically adjusting allocation based on actual workload and timing requirements, thereby achieving hard real-time performance without the continuous high energy consumption of purpose-built hardware

Inventive Principle:

Principle #25Self-service

4Reliability

If purpose-built hardware platforms are used for baseband units, then hard real-time requirements are met, but cost increases

Engineering Contradiction:

Improvehard real-time requirement capabilityVSAvoidcost

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The autonomous resource estimation and allocation system allows COTS hardware to self-optimize performance, eliminating the need for expensive purpose-built hardware while maintaining hard real-time capability through intelligent software-controlled resource management

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20230422095A1Real-Time Processing Resource Scheduling for Physical Layer Processing at Virtual Baseband Units

Publication Date: 2023.12.28 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

AI summary

Embodiments include methods for scheduling processing resources for physical layer, (PHY) communications in a wireless network. Such methods include estimating processing resources needed, during a subsequent second duration, for PHY communications in one or more cells of the wireless network, based on: a first transmission timing configuration for the one or more cells, current workload of radio units, RUs, serving the one or more cells, and information about user data traffic scheduled for transmission or reception in the one or more cells during a first duration. The first duration can precede the second duration by at least a scheduling delay associated with the processing resources. Such methods include sending, to a resource management function, a request for the estimated processing resources during the second duration. Other embodiments include processing systems, wireless networks, PHY task resource schedulers (TRS), computer-readable media, and computer program products embodying such methods.