Coordinated Set Selection for Wireless Multi-Point Transmission
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Solution Overview
Problem
In Coordinated Multi-Point transmission systems, selecting an optimal cooperating set is challenging due to the need for high-capacity and low-latency data transfer among nodes, which affects timeliness and performance, especially in Joint Processing mode where large amounts of data are transmitted among cooperating sets.
Innovation Solution
A method and apparatus for cooperating set selection in Coordinated Multi-Point transmission systems that determine the transmission mode and select cooperating sets based on specific mechanisms for Joint Processing and Coordinated Scheduling/Beamforming, considering network homogeneity and interference characteristics, using criteria such as distance, signal quality, and channel orthogonality to optimize set selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the cooperating set size is increased to improve performance gain, then the throughput and signal quality are improved, but the data transmission delay among cooperating sets increases due to the greater amount of data that needs to be transferred
Solution Approach 1:
The patent segments the cooperating set selection process into multiple stages: initial set selection based on channel quality, followed by data量 assessment, and conditional expansion only when necessary. This segmentation allows the system to achieve high throughput through selective expansion while avoiding unnecessary data transmission delays associated with always maintaining large cooperating sets.
Solution Approach 2:
The patent implements dynamic cooperating set adjustment where the set size and composition are adaptively changed based on real-time channel conditions and data transmission requirements. The system dynamically expands the cooperating set when channel quality degrades or data transmission delays occur, and contracts it when conditions improve, thereby optimizing the balance between throughput and delay.
2Productivity
If the cooperating set size is increased to improve performance, then the system performance gain is higher, but the control information and data transmission complexity among cooperating sets increases
Solution Approach 1:
The patent applies local quality by assigning different roles and functions to different nodes within the cooperating set based on their specific capabilities and channel conditions. Rather than treating all nodes uniformly, the system identifies primary and secondary nodes, assigns specialized functions (e.g., data transmission, control signaling, interference coordination), and optimizes information exchange paths locally, thereby reducing overall control complexity while maintaining high performance.
Solution Approach 2:
The patent segments control information transmission into distinct channels and protocols: control plane information (scheduling, resource allocation) is separated from user plane data, and further segmented by priority levels. This segmentation allows the system to manage complex multi-node coordination efficiently by processing different types of information through specialized pathways, reducing the overall control complexity.
3Productivity
If a larger cooperating set is selected to improve throughput, then the coverage area and signal quality are enhanced, but the data transmission capacity requirements among cooperating sets increase
Solution Approach 1:
The patent implements partial action by selecting only the necessary subset of cooperating set nodes required to achieve the desired throughput level, rather than activating all available nodes. The system assesses the minimum number of nodes needed based on channel conditions and traffic requirements, activating additional nodes only when the performance target is not met, thereby reducing unnecessary data transmission volume while maintaining adequate throughput.
Solution Approach 2:
The patent performs preliminary assessment of channel conditions, traffic patterns, and node capabilities before finalizing the cooperating set composition. This preliminary action allows the system to pre-calculate the optimal set size and composition that will achieve the required throughput with minimum data transmission volume, avoiding the need to expand the cooperating set beyond what is actually necessary.
Data Source
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AI summary
Disclosed are a coordinated set selecting method and device, which are applicable to a wireless communication system. The coordinated set selecting method comprises the following steps: determining a transmission manner adopted by a wireless communication system, the transmission manner being joint processing or coordinated scheduling/beamforming; and, directed to the transmission manner adopted by the wireless communication system, selecting a coordinated set according to a coordinated set selecting mechanism adapting to the transmission manner. According to the technical solution of the present invention, by considering transmission characteristics of different transmission manners, a reasonable coordinated set is selected to perform coordinated multi-point transmission.