Multi-AP Power Control Using Iterative SINR Balancing
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Solution Overview
Problem
Existing power control methods in wireless communication networks struggle to balance interference and gain effectively when multiple access points serve multiple user equipment due to the complexity of multiple signal and interference sources, leading to suboptimal communication quality.
Innovation Solution
A power control method that adjusts power control parameters for access points based on signal-to-interference-plus-noise ratios (SINRs) of multiple terminals, using threshold parameter sets to dynamically determine target SINRs and iteratively adjust power until a stop condition is met, balancing signal and interference sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional single-link power control method is used, then power control is simple to implement, but it cannot handle multiple APs serving multiple UEs with multiple signal and interference sources
Solution Approach 1:
The patent segments the power control process into multiple independent stages: initial power control based on single-link SINR, iterative power adjustment based on multi-link SINR, and convergence determination. This segmentation allows the system to handle multiple APs and UEs by breaking down the complex power control into manageable steps, each focusing on specific aspects of the multi-user environment.
Solution Approach 2:
The patent transitions from single-link power control to multi-link power control by introducing the dimension of inter-user and inter-AP interference. The iterative adjustment process adds another dimension of optimization by considering the impact of power changes on multiple simultaneous links, enabling the system to manage complexity through systematic multi-dimensional optimization.
2Productivity
If multiple APs serve multiple UEs simultaneously, then network service capability is enhanced, but interference and gain cannot be balanced well leading to poor communication quality
Solution Approach 1:
The patent implements a feedback mechanism where each AP measures and reports SINR values to the controller, which then uses this feedback information to iteratively adjust power control parameters. The feedback loop continues until convergence is achieved, ensuring that interference and gain are dynamically balanced across multiple links to maintain communication quality while supporting enhanced network service capability.
Solution Approach 2:
The patent dynamically changes power control parameters based on measured SINR values and target SINR requirements. By iteratively adjusting power parameters and comparing them against target values, the system achieves optimal balance between signal gain and interference suppression, enabling both high productivity and reliable communication quality in multi-AP multi-UE scenarios.
3Reliability
If iterative power adjustment is performed, then power control reliability is improved, but adjustment time and computational resources increase
Solution Approach 1:
The patent performs preliminary power control adjustments based on initial SINR measurements before entering the iterative refinement process. This preliminary action establishes a baseline power configuration that is already partially optimized, reducing the number of iterative adjustments needed and thereby decreasing the overall time required while maintaining high reliability through systematic optimization.
Solution Approach 2:
The patent implements dynamic power adjustment with a convergence criterion that automatically determines when to stop iterating. The system dynamically adapts the adjustment process based on whether target SINR values are achieved, preventing unnecessary iterations and optimizing the balance between reliability and time consumption by stopping adjustment once sufficient convergence is reached.
Data Source
AI summary
Provided are a power control method and apparatus, a communication node, and a storage medium. The power control method includes: acquiring initial power control information, where the initial power control information includes a power control parameter of each of access points (APs) providing a service for each of terminals, the number of the terminals is K, K is an integer greater than 1, the number of the access points is M, and M is an integer greater than 1; determining SINR of the K terminals according to the initial power control information and determining L target SINRs, where L is a positive integer; and adjusting a power control parameter of a target AP according to the SINRs of the K terminals and the L target SINRs until an iteration adjustment stop condition is satisfied, and an adjusted power control parameter is obtained.


