Uplink Power Control via Cell Cluster Joint Optimization
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Solution Overview
Problem
Conventional LTE technologies fail to optimize long-term performance at the cell or network level by not optimizing cell-level parameters such as Pcell_specific and path loss compensation factor α, leading to suboptimal uplink power control and network stability.
Innovation Solution
A method for controlling uplink power that identifies overloaded and underloaded cells, forms cell clusters, and performs joint optimization of uplink power control parameters based on load function gradients to balance load distribution and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional technology optimizes only user-level parameter PUEspecific based on single UE path loss, then short-term performance for single user is improved, but cell-level parameter Pcellspecific and path loss compensation factor α are not optimized, thus long-term performance at cell level or network level is not optimized
Solution Approach 1:
The patent segments the optimization process into two distinct levels: cell-level optimization (long-term) and user-level optimization (short-term). The network side device separately determines cell-level parameters (Pcellspecific, α) and user-level parameters (PUEspecific), allowing each level to be optimized independently according to its specific requirements and time scale.
Solution Approach 2:
The patent adds a new dimension to the optimization process by introducing cell-level parameters that operate at the network level, complementing the existing user-level parameters. This creates a hierarchical two-dimensional optimization structure where both cell-level and user-level parameters work together to achieve comprehensive performance improvement.
2Device complexity
If uplink power control parameters are optimized without considering cell load distribution, then parameter optimization is simplified, but load imbalance problem occurs among cells
Solution Approach 1:
The patent implements a feedback mechanism where the network side device receives uplink load information from multiple cells, uses this feedback to determine cell cluster identification information, and adjusts cell-level power control parameters accordingly. This closed-loop feedback ensures load balance while maintaining manageable optimization complexity.
3Productivity
If cell-level parameters are optimized without joint optimization approach, then optimization process is simpler, but uplink interference coordination among cells is insufficient
Solution Approach 1:
The patent merges the optimization of multiple cell-level parameters (Pcellspecific, α, and other power control parameters) into a unified joint optimization process. The network side device simultaneously determines these parameters based on uplink load information and cell cluster identification, achieving efficient interference coordination while maintaining optimization efficiency.
Data Source
AI summary
Provided in the embodiment of the present invention are a method for uplink power control and an integrated control point apparatus. The method comprises: obtaining the uplink load information of a plurality of cells; identifying cells of a first type and cells of a second type among the plurality of cells; determining at least one cell cluster according to the neighboring relationship of the cells of the first type, the cells of the second type and the plurality of cells, wherein any cell cluster in the at least one cell cluster comprises at least one cell of the first type, and the cell of the first type or the cell of the second type neighboring the at least one cell of the first type; and performing joint optimization of uplink power control parameters on every cell cluster in the at least one cell cluster.