Predictive Scheduling for Wireless Backhaul Latency

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Solution Overview

Problem

Current scheduling frameworks for wireless backhauling in 5G NR systems face challenges with high latency and inefficient resource allocation, particularly in multi-hop scenarios, which impact the quality of service and throughput due to half-duplex constraints and interference issues.

Innovation Solution

Implementing a predictive scheduling approach where network nodes transmit scheduling requests and buffer status reports based on predicted data amounts, allowing for optimized resource allocation and minimized latency by sending these requests before receiving upstream data, and using time division multiplexing to align duplexing and separate radio resources for access and backhaul links.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If current scheduling frameworks are used for wireless backhauling, then resource allocation can be performed, but upstream scheduling latency becomes high and resource allocation efficiency deteriorates

Engineering Contradiction:

Improveupstream scheduling latencyVSAvoidresource allocation efficiency

Core Design Contradiction:

Loss of timeVSProductivity

Solution Approach 1:

The network node transmits scheduling requests and buffer status reports to the serving node before the upstream data is actually received, based on predicted data amounts. This preliminary action allows the serving node to prepare resource allocations in advance, significantly reducing upstream scheduling latency while improving resource allocation efficiency through predictive resource management.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If traditional scheduling is implemented without prediction, then resource allocation can proceed, but resource wastage increases due to inability to anticipate data arrival

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidresource wastage

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The network node provides feedback to the serving node about predicted buffer status and data arrival patterns. This feedback mechanism enables the serving node to make informed resource allocation decisions, optimizing resource utilization and reducing resource wastage by allocating resources based on actual predicted needs rather than static or reactive allocation.

Inventive Principle:

Principle #23Feedback

3Productivity

If time division multiplexing is not used to separate access and backhaul links, then resource allocation is simpler, but interference increases and resource allocation becomes less efficient

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidinterference

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system segments radio resources by separating access links and backhaul links using time division multiplexing. Different time slots are allocated for access transmissions and backhaul transmissions, which eliminates interference between these two functional links while enabling efficient and independent resource allocation for each link type.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11395320B2Predictive scheduling request or buffer status report for wireless backhauling

Publication Date: 2022.07.19 NOKIA SOLUTIONS & NETWORKS OY

AI summary

Systems, methods, apparatuses, and computer program products for supporting or providing wireless backhauling are provided.