Predictive Data Pre-positioning in IAB Wireless Networks
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Solution Overview
Problem
In integrated access and backhaul (IAB) networks, highly loaded nodes cause spectrum underutilization and increased end-to-end transmission delay due to shared radio resources between access and backhaul links, leading to inefficient data transmission and high decoding complexity.
Innovation Solution
A node in the wireless communication system predicts and transmits information likely to be requested to other nodes for buffer storage and relaying, bypassing highly loaded nodes and optimizing spectrum use through direct backhaul channels, thereby reducing load imbalance and enhancing throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transmission goes through highly loaded IAB nodes in multi-hop networks, then connectivity is maintained, but spectrum utilization deteriorates and transmission delay increases
Solution Approach 1:
The system performs preliminary actions by predicting which data will be requested by CPEs and proactively transmitting this predicted data to IAB nodes before actual requests occur. This allows data to be pre-positioned at intermediate nodes, enabling direct retrieval when requested and avoiding transmission through highly loaded nodes, thereby improving spectrum utilization and reducing transmission delay
Solution Approach 2:
The system introduces an intermediary mechanism where a donor node or controller predicts data requests and acts as a mediator to pre-distribute data to appropriate IAB nodes. This intermediary function enables indirect data paths that bypass highly loaded nodes, resolving the contradiction between maintaining connectivity and optimizing transmission efficiency
2Productivity
If IAB nodes remain off to wait for highly loaded nodes to finish transmission, then interference is reduced, but spectrum underutilization occurs
Solution Approach 1:
By predicting data requests in advance and pre-transmitting data to IAB nodes during idle periods, the system ensures that nodes have data ready for immediate transmission when requested. This eliminates the need for nodes to remain off waiting for highly loaded nodes, as data is already positioned at the appropriate nodes, thereby improving both spectrum utilization and energy efficiency
Solution Approach 2:
The system enables continuous useful action by keeping IAB nodes active and transmitting data throughout the network proactively. Instead of nodes remaining idle waiting for transmission opportunities, the predictive mechanism ensures continuous data movement and node utilization, improving spectrum utilization without sacrificing energy efficiency
3Reliability
If direct macro base station to CPE links are used, then network infrastructure is simplified, but channel quality deteriorates due to path loss and shadowing
Solution Approach 1:
The system segments the direct macro base station to CPE link into multiple shorter hops through intermediate IAB nodes. Each segment experiences less path loss and shadowing, improving channel quality. The segmentation is managed through predictive data transmission that coordinates across segments, maintaining reliability while improving channel conditions
Solution Approach 2:
The system introduces IAB nodes as intermediaries between the macro base station and CPEs. These intermediaries improve channel quality by creating shorter, more reliable links. The predictive mechanism acts as a coordinator among intermediaries, managing data flow to maintain overall system simplicity while improving channel quality through the distributed architecture
Data Source
AI summary
The present disclosure relates to first type node (AP0) in a wireless communication system (1), wherein the first type node (AP0) is adapted to: —communicate with at least one other first type node (AP1, AP2) in the wireless communication system (1) over a corresponding backhaul channel (H1, H4), —acquire a prediction for information (X23) to be requested via at least one of said other first type nodes (AP2, AP3), and to —transmit the predicted information (X23) to one of said other first type nodes (AP2) for buffer storage and/or relaying.