Cell Load Balancing via CIO and E-Tilt Adjustment
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Solution Overview
Problem
State-of-the-art wireless communication systems face inefficiencies due to over-subscription or underutilization of access points, leading to sub-optimal network performance, which can be addressed through effective load balancing between cells.
Innovation Solution
A method and apparatus for network load balancing that involves a server receiving load data, selecting target cells based on predefined thresholds, calculating utilization parameters, and configuring physical layer parameters like CIO and E-tilt to optimize resource block usage across neighboring cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If access points are over-subscribed to increase network capacity utilization, then resource utilization improves, but network performance deteriorates due to excessive load
Solution Approach 1:
The patent implements dynamic load balancing by continuously monitoring cell load conditions and adjusting mobility parameters in real-time. The system transitions from static to dynamic resource allocation, adapting to changing network conditions to maintain optimal performance while maximizing resource utilization.
Solution Approach 2:
The system changes physical layer parameters (CIO, E-tilt) based on monitored load conditions to redistribute traffic dynamically. By adjusting these parameters, the system can shift load between cells, preventing overload while maintaining high resource utilization across the network.
2Reliability
If access points are underutilized to maintain low load, then network performance is preserved, but resource utilization deteriorates
Solution Approach 1:
The system adjusts physical layer parameters to redirect traffic from underutilized cells to overloaded cells, ensuring balanced resource utilization while maintaining acceptable performance levels across all cells.
Solution Approach 2:
The system implements feedback mechanisms by monitoring cell load conditions and using this information to dynamically adjust mobility parameters, creating a closed-loop control system that optimizes resource utilization while maintaining performance.
3Reliability
If mobility parameters are adjusted to balance load between cells, then network performance improves, but system complexity increases
Solution Approach 1:
The system introduces a mobility load balancing function as an intermediary layer between the radio access network and core network. This mediator monitors load conditions and adjusts mobility parameters centrally, simplifying the complexity by providing a unified control mechanism rather than distributed complex adjustments.
Data Source
AI summary
A method for performing mobility load balancing includes receiving, at a server, current load data for a plurality of cells of a wireless communication network, selecting, from the plurality of cells, a target cell (s), wherein a value of the current load data for the target cell exceeds a first predefined threshold, and selecting, from a neighbor cell list corresponding to the target cell, a set of neighboring cells for the target cell. The method further includes calculating, a value of at least one utilization parameter for the target cell, determining, a CIO value and an E-tilt value for the target cell based on the value of the at least one utilization parameter for the target cell and configuring one or more physical layer parameters of the target cell based on the determined CIO and E-tilt values for the target cell.


