Aggregation Node Polling for MTC Data Transmission

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Solution Overview

Problem

Current LTE RAN and core-network functionalities are inadequate in supporting efficient small-packet transmission for a large number of Machine-Type Communication (MTC) terminals and sensors, leading to increased signaling load and resource inefficiencies.

Innovation Solution

Implementing a method where an aggregation node, such as an evolved Node B, polls and schedules data transmissions from sensors and MTC devices to share communication resources, aggregate data, and forward it efficiently, avoiding collisions by configuring transmission times and using configurable waiting periods based on shared triggers and periodicities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If LTE RAN and core-network functionalities are used for MTC terminals and sensors, then communication capability is provided, but signaling load increases and resource utilization becomes inefficient

Engineering Contradiction:
Improveresource utilizationVSAvoidsignaling load
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

Multiple sensors and MTC terminals are merged into a single group that shares common communication resources and triggers. The aggregation node combines data from multiple sources before transmission, reducing the number of individual signaling messages and improving resource utilization efficiency.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The aggregation node performs multiple functions including data collection, polling, aggregation, and scheduling within a single device. This multi-functional approach reduces the need for separate dedicated components for each function, thereby reducing overall signaling load and improving resource efficiency.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If data transmission is scheduled for MTC devices, then resource sharing is enabled, but transmission collisions may occur

Engineering Contradiction:
Improveresource sharing efficiencyVSAvoidtransmission reliability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The aggregation node performs preliminary actions by polling sensors and MTC terminals before the actual data transmission. This includes checking which devices have data to send and scheduling transmission slots in advance, which prevents collisions by ensuring each device transmits at its allocated time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where the aggregation node receives acknowledgment signals from sensors and terminals about their transmission status. This feedback loop allows the node to adjust scheduling dynamically and resolve potential collisions by reassigning time slots based on actual transmission conditions.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS9913248B2Method and apparatus for aggregating data for transmission
Publication Date: 2018.03.06 NOKIA TECHNOLOGIES OY
  • US9913248B2 patent drawing
  • US9913248B2 patent drawing
  • US9913248B2 patent drawing

AI summary

A method and apparatus can be configured to receive a first data from a first transmitter. The first data comprises data to be forwarded by the apparatus. The method may also include triggering a polling of a group of transmitting nodes. The triggering may be based on the received first data. The group of transmitting nodes may comprise nodes from which data is to be aggregated. The method may also include waiting for a period of time to receive a second data from a second transmitter of the group of transmitting nodes. The second data may comprise data to be forwarded by the apparatus. The first transmitter and the second transmitter may share communication resources to communicate with the apparatus. The method may also include aggregating the first data and the second data. The method may also include forwarding the aggregated data.