Dynamic Radio Resource Allocation in Relay Communication Systems
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Solution Overview
Problem
In radio communication systems using relay stations, excessive allocation of radio resources to the relay region can lead to underutilization, as terminals performing communication with the relay station may fall below a threshold, resulting in inefficient resource utilization.
Innovation Solution
A radio communication system that includes a base station, a terminal apparatus, and a relay station, where the base station dynamically adjusts the radio resource allocation method and scheduling method, allowing for effective utilization by switching between partial and dynamic radio resource allocation based on channel quality and terminal connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large number of radio resources are allocated to the relay region, then the relay station can support more terminals, but the terminals performing communication with the relay station become fewer than a threshold, resulting in underutilization of resources
Solution Approach 1:
The patent implements dynamic switching between AF (Amplify-Forward) and DF (Decode-Forward) relay methods based on real-time channel conditions and terminal connectivity. The base station monitors the number of active terminals and channel quality, then dynamically selects the appropriate relay method to optimize resource utilization. This dynamic adaptation resolves the contradiction by allowing the system to use AF when many terminals are active (efficient for bulk transmission) and DF when few terminals are active (efficient for targeted transmission), thereby maintaining high resource utilization across varying load conditions
Solution Approach 2:
The system changes the operational parameters of the relay station by switching between different relay methods (AF and DF) and adjusting radio resource allocation dynamically. The base station modifies transmission parameters such as power allocation, resource block assignment, and relay method selection based on monitored channel conditions and terminal activity levels. These parameter changes enable the system to adapt to varying traffic conditions and maintain optimal resource utilization efficiency
2Productivity
If centralized scheduling is used to manage radio resources, then resource allocation can be optimized globally, but the system complexity and control overhead increase
Solution Approach 1:
The patent segments the scheduling function into two parts: the base station performs centralized scheduling for overall resource allocation and relay method selection, while the relay station performs local scheduling for terminal-specific transmissions. This segmentation allows the base station to maintain global optimization through centralized control while reducing the complexity burden on individual nodes. The relay station handles local scheduling decisions based on instructions from the base station, distributing the computational load and reducing overall system complexity while maintaining allocation efficiency
3Adaptability or versatility
If the relay method is fixed, then the system is simpler to implement, but it cannot adapt to varying channel conditions and terminal connectivity
Solution Approach 1:
The patent implements dynamic switching between AF and DF relay methods based on real-time channel conditions and terminal connectivity. The base station monitors channel quality indicators and the number of active terminals, then dynamically selects the appropriate relay method. This dynamic adaptation enables the system to optimize performance for varying conditions: using AF when channel conditions are good and many terminals are active, and using DF when channel conditions are poor or few terminals are active, thereby achieving high adaptability without requiring complex manual configuration
Solution Approach 2:
The system employs feedback mechanisms where the base station monitors channel conditions, terminal connectivity status, and communication performance metrics. Based on this feedback information, the base station dynamically adjusts the relay method and resource allocation. The feedback loop enables the system to automatically adapt to changing conditions, maintaining optimal performance while the complexity is managed through automated decision-making algorithms rather than complex hardware configurations
Data Source
AI summary
A radio communication system including: a base station; a terminal; and a relay station, wherein the base station and the terminal perform radio communication via the relay station, the base station includes: a change unit which changes at least any of a radio resource allocation method for the relay station and the terminal, the radio resource allocation method and a scheduling method, or the radio resource allocation method, the scheduling method and a relay method in the relay station; and a transmission unit which transmits a change notice for notifying the relay station of the change by the change unit, the relay station includes a reception unit which receives the change notice, and the base station, the relay station, and the terminal perform radio communication using at least the radio resources allocating or allocated by the radio resource allocation method after the change.