IAB Network Resource Allocation and Timing Alignment
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Solution Overview
Problem
The challenge in integrated access and backhaul (IAB) networks is efficiently allocating resources and achieving timing alignment across nodes with varying capabilities and numerologies, which leads to interference, resource wastage, and increased latency.
Innovation Solution
A method and system for resource allocation in IAB networks that involves establishing connections with distributed units of IAB nodes, determining resource configurations based on resource allocation criteria and node parameters, and signaling timing advance values to align timing across nodes, while also configuring cell-specific signals and channels to avoid conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If self-backhauling is implemented in IAB networks to avoid optical fibre deployment, then deployment cost is reduced, but resource allocation complexity and timing alignment difficulty increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting timing advance values and resource allocation parameters based on propagation delay measurements. The system modifies transmission timing parameters to achieve synchronization across multiple hops in the IAB network, resolving the timing alignment difficulty while maintaining the cost benefits of self-backhauling.
2Manufacturing precision
If timing advance values are signaled to child nodes for timing alignment, then timing synchronization is improved, but signaling overhead and latency increase
Solution Approach 1:
The patent implements preliminary action by pre-calculating and signaling timing advance values during the initial connection establishment and resource allocation phases. This allows child nodes to prepare their transmission timing in advance, reducing the need for continuous timing adjustments and minimizing ongoing signaling overhead and latency.
3Productivity
If resource configuration is determined based on multiple node parameters and allocation criteria, then resource allocation efficiency is improved, but processing complexity and configuration overhead increase
Solution Approach 1:
The patent applies segmentation by dividing the resource allocation process into distinct phases: parameter collection, timing calculation, resource configuration determination, and signaling. Each phase handles specific tasks independently, reducing processing complexity at any single point while maintaining overall allocation efficiency through the coordinated sequence of operations.
Data Source
AI summary
A method includes receiving at least one parameter associated with the each of at least one IAB node (100), determining a resource configuration comprising of resources to be allocated to the DU of each of the at least one IAB node (100) based on at least one resource allocation criteria and the at least one parameter, indicating the resource configuration for the DU of each of the at least one IAB node (100). The method includes signaling a timing advance (TA) value to at least one IAB node (100) based on a plurality of parameters, evaluating at least one of a UL-Tx timing and a DL-Tx timing based on the TA value signaled, configuring a cell-specific signal and channel (CSSC) to the DU of the reference node based on the at least one parameter, and timing alignment in a IAB network (1000).