Open Loop Power Control for Co-MIMO Edge Users
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Solution Overview
Problem
Conventional Co-MIMO systems require centralized calculations by a central control unit for power control, increasing system complexity and being susceptible to system delays due to real-time channel information requirements.
Innovation Solution
An open loop power control method where each base station independently adjusts power allocation based on signal-to-interference ratio (SINR) feedback from edge users, eliminating the need for centralized calculations and enabling power control without real-time channel information feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a central control unit performs centralized calculations for power control in Co-MIMO system, then power allocation optimization is improved, but system complexity increases
Solution Approach 1:
The patent divides the centralized power control function into distributed segments at each base station. Each base station independently performs power control calculations using local channel state information and interference measurements, eliminating the need for a central control unit to perform global optimization calculations. This segmentation reduces system complexity while maintaining effective power allocation.
Solution Approach 2:
Each base station is empowered to perform its own power control decisions autonomously based on locally available information. The base stations self-adjust their power allocation ratios without requiring centralized coordination, reducing the computational burden on the overall system while maintaining optimization capabilities through distributed intelligence.
2Measurement precision
If centralized calculations are performed for real-time channel information, then power control accuracy is improved, but system delay increases
Solution Approach 1:
The patent segments the power control decision-making process into distributed operations at each base station. Each base station processes local channel state information and interference measurements independently to determine power allocation ratios, eliminating the time required for centralized information aggregation and processing. This distributed approach maintains accuracy while reducing system delay.
Solution Approach 2:
The system performs preliminary power control adjustments at each base station based on current local conditions before interference patterns change significantly. This allows base stations to proactively optimize power allocation without waiting for centralized coordination, reducing the time lag between channel condition changes and power control responses.
Data Source
AI summary
The method includes: obtaining an initial power allocation ratio of an edge user, and receiving a first SINR sent by the edge user at the initial power allocation ratio; calculating a first power allocation ratio according to the first SINR, selecting a greater power allocation ratio A, and receiving a second SINR sent by the edge user at the power allocation ratio A; determining a third SINR between a first SINR value and a second SINR value; and calculating a second power allocation ratio according to the third SINR, selecting a greater power allocation ratio B, and adjusting power allocation according to the power allocation ratio. Embodiments of the present invention mainly apply to a power control process in the Co-MIMO system.