Distributed Power Control SINR Adjustment
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Solution Overview
Problem
Current wireless cellular systems face inefficiencies in network operations due to uniform power control across all mobile units, which limits data rate and talk time while prioritizing cost and simplicity over performance.
Innovation Solution
A method for distributed power control that adjusts the Signal to Interference Plus Noise Ratio (SINR) for each mobile unit based on the amount of information to be transmitted, allowing higher priority nodes to increase their SINR and lower priority nodes to decrease theirs, maintaining an average SINR set point while optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniform power control is applied to all mobile units to maintain SINR set point, then interference is reduced and power consumption is minimized, but network performance and data rate are limited
Solution Approach 1:
The patent applies different SINR set points to different mobile units based on their individual characteristics such as channel conditions, data rate requirements, and priority levels. Instead of using a uniform SINR set point for all users, the system dynamically assigns customized SINR targets to each mobile unit, allowing optimal performance for each user while maintaining overall network efficiency.
Solution Approach 2:
The system dynamically adjusts SINR set points in real-time based on changing network conditions, user priorities, and traffic demands. The SINR configuration is not static but adapts continuously to optimize network performance, allowing the system to respond to varying conditions and maximize productivity across different scenarios.
2Productivity
If minimum SINR is established to achieve required data rate, then system simplicity is maintained, but bandwidth utilization and user experience are suboptimal
Solution Approach 1:
The patent changes the key parameter of SINR set point from a fixed minimum value to a dynamic, user-specific value. By modifying this critical parameter based on multiple factors including user priority, channel conditions, and network load, the system achieves improved bandwidth utilization without requiring fundamentally new control mechanisms.
Solution Approach 2:
The system implements feedback mechanisms where the base station monitors network conditions, user performance, and resource utilization, then uses this information to adjust SINR set points for different mobile units. This feedback-driven approach enables intelligent resource allocation that improves bandwidth utilization while maintaining manageable system complexity through automated control.
Data Source
AI summary
In one embodiment, a method for distributed power control in a network is provided. The method determines a transmit power for a plurality of transmitting nodes such that signals sent from each of the transmitting nodes are received at a receiving node at a signal to interference plus noise ratio (SINR) set point. Additionally, the method increases the SINR at the receiving node of one or more transmitting nodes of the plurality of transmitting nodes, and decreases the SINR at the receiving node of one or more other transmitting nodes of the plurality of transmitting nodes; wherein a total increase in SINR by the one or more transmitting nodes is substantially equal to total decrease in SINR by the one or more other transmitting nodes.