Network Controller Look-Up Table for Relay Node Path Optimization
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Solution Overview
Problem
In mobile communications networks, especially in small cell environments, increasing network capacity through the use of relay nodes is challenging due to interference, synchronization issues, and the need for efficient data packet management across dynamically changing conditions.
Innovation Solution
A centrally coordinated network arrangement is established using a look-up table based on measurement information from infrastructure units, including base stations and relay nodes, to determine optimal data packet paths and combinations, allowing for efficient relay node operation and subgroup management to enhance device-to-device capacity and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If relay nodes are deployed to increase network capacity, then network capacity is improved, but control signaling overhead increases
Solution Approach 1:
The network controller pre-calculates and stores optimal relay paths and routing decisions in a look-up table before data transmission occurs. When a relay node needs to forward data, it simply queries the pre-computed look-up table rather than making real-time routing decisions, thereby reducing control signaling overhead while maintaining high network capacity.
2Productivity
If relay nodes operate autonomously without central coordination, then device-to-device capacity increases, but synchronization issues arise
Solution Approach 1:
A network controller acts as an intermediary that provides centralized coordination for relay node operations. The controller manages synchronization and path selection, while relay nodes operate semi-autonomously by querying pre-computed routing information. This intermediary approach enables high device-to-device capacity while maintaining system-wide synchronization through centralized control of timing and resource allocation.
3Measurement precision
If measurement information is collected from all infrastructure units, then path optimization is improved, but control signaling overhead increases
Solution Approach 1:
The network controller collects measurement information from infrastructure units and pre-computes optimal paths, storing results in a look-up table. This preliminary computation eliminates the need for continuous real-time measurement exchanges during data transmission, achieving precise path optimization while minimizing control signaling overhead to only periodic updates when network conditions change.
Data Source
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AI summary
A mobile communications system comprising a base station as a network controller configured to receive measurement information from one or more infrastructure units, analyse the measurement information to identify all potential communications paths between the infrastructure units and create and transmit a look-up table from the analysis that links each of the incoming communications paths with relevant communications sessions of the infrastructure units into outgoing communications paths with relevant combined sessions for each of the relay nodes. The base station may be configured to form subgroups of infrastructure units, and extend them into a region controlled by a second base station. Additionally, the base station may be configured to request updates of the measurement information and accordingly update the look-up table, either periodically or in response to an event. Further, the system may detect whether the base station is in close proximity to an infrastructure unit connected to a second base station, and consequently add communications paths between them, creating a multi-cell environment. The mobile communications system may operate in accordance with a 3GPP LTE standard.