Node B Data Rate Scheduling for Mobile Communication Systems
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Solution Overview
Problem
In mobile communication systems, existing methods for data rate scheduling by user equipment (UE) lead to increased noise rise variance, inefficient use of radio resources, and increased complexity for Node B, due to self-determined data transmission speeds by UEs, which result in reduced power allocation and capacity reduction.
Innovation Solution
A method where the Node B determines and transmits control information to the UE for data rate adjustment, allowing the UE to select a data rate based on buffer occupancy and maximum transmission power, reducing interference and optimizing radio resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the UE spontaneously determines the TFC based on buffer occupancy and maximum transmit power, then the UE can independently control its data transmission speed, but the RNC takes a long time to reflect noise rise changes and cannot precisely update the TFCS
Solution Approach 1:
The Node B monitors the actual noise rise in real-time and feeds back control information to the UE, enabling dynamic adjustment of the data rate. This feedback mechanism allows the system to respond immediately to noise changes without relying on periodic RNC updates, thus reducing time delay while maintaining UE autonomy.
Solution Approach 2:
The system transitions from static TFCS provided by RNC to dynamic control where the Node B continuously adjusts the data rate based on real-time noise conditions. The UE autonomously selects TFC from a dynamic set provided by the Node B, enabling adaptive response to changing network conditions.
2Productivity
If the UE determines data transmission speed based on buffer occupancy and maximum power, then the UE can optimize its own transmission, but packet data creates large noise rise dispersion increasing the margin and reducing radio resource efficiency
Solution Approach 1:
The Node B receives actual noise rise information from the UE and adjusts the control information accordingly. This feedback loop enables the system to account for packet data noise dispersion in real-time, allowing the UE to transmit at optimal rates without requiring excessive margin, thus improving radio resource efficiency.
Solution Approach 2:
The system dynamically changes the data rate parameter based on the type of data being transmitted. For packet data with high noise rise dispersion, the Node B adjusts the maximum allowable data rate and control information to compensate for the increased margin requirement, optimizing the balance between transmission speed and resource efficiency.
3Object-affected harmful factors
If the RNC determines maximum data transmission speed based on reception signal level and noise rise, then the system can control interference levels, but the complexity for Node B scheduling increases and system capacity is reduced
Solution Approach 1:
The scheduling function is extracted from the RNC and transferred to the Node B. The Node B independently determines the data rate and provides control information to the UE without requiring RNC intervention. This extraction reduces RNC complexity and enables faster response to noise changes, while the Node B handles interference control locally.
Solution Approach 2:
The Node B performs self-scheduling by monitoring its own noise rise conditions and autonomously determining the appropriate data rate for the UE. This self-service capability eliminates the need for complex centralized scheduling from the RNC, reducing overall system complexity while maintaining effective interference control.
4Ease of operation
If the UE sets transmission speed considering reported maximum data transmission speed, then the UE can control its transmission, but the reported maximum data transmission speed cannot precisely reflect instantaneous noise rise changes
Solution Approach 1:
The Node B provides continuous feedback on actual noise rise conditions to the UE through control information. This enables the UE to adjust its transmission speed based on real-time noise measurements rather than relying on pre-reported maximum speeds, significantly improving measurement precision while maintaining ease of operation.
Solution Approach 2:
The Node B proactively provides control information containing noise rise estimates before the UE needs to adjust its transmission. This preliminary action allows the UE to prepare for optimal transmission parameters in advance, improving response time and measurement accuracy without adding operational complexity.
Data Source
AI summary
An apparatus and method are provided for determining a data rate by means of control information in a mobile communication system which includes a User Equipment (UE) and a Node B. The UE transmits data to the Node B, and the Node B transmits the control information to the UE. The data rate is determined by means of the control information and is used for transmission of the data by the UE. The apparatus and method comprise determining a preliminary data rate in consideration of a quantity of data waiting for transmission; comparing the preliminary data rate with a previous data rate used for previous data transmission; and determining the data rate according to a result of comparison so that the UE can transmit the data at the data rate.