Wireless Base Station Clustering for Joint Signal Processing
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Solution Overview
Problem
Current wireless network systems lack efficient methods for joint signal processing and error correction across multiple base stations, leading to suboptimal communication reliability and capacity, especially in environments with varying physical conditions.
Innovation Solution
A wireless network architecture that enables multiple base stations to manage active links to mobile stations in clusters, using a controller for joint processing of signals from multiple base stations to provide error correction and compression, allowing for transparent handover and increased network capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple base stations independently process signals without joint processing, then device complexity is reduced, but communication reliability deteriorates due to suboptimal error correction and capacity
Solution Approach 1:
The system segments base stations into clusters with designated master and slave roles. Slave base stations perform initial signal processing and forward results to the master base station, which performs final joint processing. This segmentation distributes computational complexity across multiple nodes while maintaining the benefits of cooperative signal processing for improved communication reliability.
Solution Approach 2:
The master base station acts as an intermediary that receives processed signals from slave base stations, performs joint processing, and coordinates error correction across the cluster. This intermediary approach enables reliable communication through cooperative processing while managing system complexity through centralized coordination at the master node.
2Productivity
If base stations operate independently without clusters, then device complexity is reduced, but network capacity deteriorates due to inability to provide transparent handover and increased margins
Solution Approach 1:
Multiple base stations are merged into functional clusters where slave base stations cooperate with a master base station to serve mobile stations. This merging enables transparent handover and improved network capacity through cooperative signal processing, while the cluster structure manages complexity by defining clear roles and communication protocols among members.
Solution Approach 2:
Slave base stations perform multiple functions including signal reception, initial processing, and forwarding to the master base station. The master base station performs joint processing, error correction, and coordination. This multi-functionality within the cluster structure increases network capacity and enables transparent handover while managing complexity through standardized roles.
3Reliability
If sufficient margins are used to mitigate physical conditions, then communication reliability is improved, but loss of energy increases and network capacity is reduced
Solution Approach 1:
Slave base stations create copies of processed signals and forward them to the master base station for joint processing. This copying approach enables the system to overcome physical channel conditions through cooperative diversity without requiring excessive transmission margins, thereby improving reliability while reducing energy consumption compared to independent operation with high margins.
Data Source
AI summary
Wireless network system including a plurality of base stations each configured to manage active links to mobile stations within a range; and a controller configured to control the base stations to provide at least two of the active links from two different base stations simultaneously to a given mobile station in integral manner for joint processing.