Uplink Power Control Parameters Optimization via KPI Mapping
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Solution Overview
Problem
Existing uplink power control methods in cellular networks primarily focus on improving local service quality without considering the overall network performance, leading to suboptimal interference management across multiple cells.
Innovation Solution
An uplink power control method that optimizes power control parameters for multiple cells using a Key Performance Indicator (KPI) model, which maps the power control parameters to network KPIs such as uplink load, call drop and block ratio, and signal-to-interference-plus-noise ratio, to achieve global network performance improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uplink power control parameters are adjusted according to local information only, then local service quality is improved, but overall network performance deteriorates
Solution Approach 1:
The network is segmented into multiple cells, each with its own base station performing local optimization. The overall network performance is achieved by coordinating these segmented units through shared KPI information and iterative optimization processes, allowing local decisions to contribute to global performance.
Solution Approach 2:
A feedback mechanism is established where base stations exchange KPI information and optimization results with each other and with the network management system. This feedback loop enables the system to adjust power control parameters based on actual network performance, transitioning from static local optimization to dynamic global optimization.
2Reliability
If uplink power control optimizes only local UE service quality, then local communication reliability is improved, but network-wide interference management worsens
Solution Approach 1:
The patent merges local power control optimization with global network performance considerations by combining local KPI data with network-wide KPI data. This integration allows the system to balance local service quality with network-wide interference management through unified optimization criteria.
Solution Approach 2:
The optimization problem is extended from a single-cell dimension to a multi-cell network dimension. By introducing network-wide KPIs and inter-base station coordination mechanisms, the system adds a global optimization dimension that complements local optimization, enabling simultaneous improvement of local service quality and network-wide interference management.
3Ease of operation
If traditional power control methods are used, then implementation simplicity is maintained, but network performance optimization capability deteriorates
Solution Approach 1:
The system implements self-service optimization where base stations automatically perform power control parameter optimization based on local KPI measurements and network feedback. This automated self-optimization reduces manual intervention while improving network performance, balancing implementation complexity with optimization capability.
Data Source
Figure 1~3
AI summary
Embodiments of the present invention provide an uplink power control method and an apparatus thereof. The method includes: optimizing uplink power control parameters of the multiple cells according to a KPI model, where the KPI model is used to indicate a mapping relationship between the uplink power control parameters of the multiple cells and at least one KPI of a network on which the multiple cells are located; and performing uplink power control on user equipment in the multiple cells according to the uplink power control parameters of the multiple cells. In the embodiments of the present invention, by considering impact of uplink power control parameters of multiple cells on a KPI of a network on which the multiple cells are located, uplink power control parameters that are more optimized from the perspective of global performance of the network are obtained, thereby improving overall performance of the network.