Cell Individual Offset Bias for Heterogeneous Network Range Expansion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cell range expansion techniques in heterogeneous wireless communication networks do not account for differences in user equipment properties and changing traffic loads, leading to inappropriate handovers and interference issues.
Innovation Solution
A decentralized method where user equipment determines its maximum cell individual offset bias based on its current configuration and radio conditions, allowing for dynamic adjustment of cell bias without network visibility, enabling appropriate cell selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If cell range expansion is used to bias user equipment towards low power nodes, then coverage area of low power nodes is expanded, but user equipment suffers from high interference from macro cell
Solution Approach 1:
The patent applies different cell individual offset values to different user equipment based on their specific characteristics and radio conditions. Instead of using a uniform bias for all user equipment in the expanded coverage area, the system tailors the offset locally to each user equipment's interference tolerance and signal quality, thereby expanding coverage while managing interference on a per-user basis.
Solution Approach 2:
The patent dynamically adjusts the cell individual offset bias for user equipment based on changing radio conditions, traffic load, and user equipment characteristics. The bias is not static but adapts in real-time to optimize the balance between coverage expansion and interference management, allowing the system to respond to varying conditions in the heterogeneous network.
2Device complexity
If a fixed cell bias is applied to all user equipment, then implementation is simple, but it does not account for differences in user equipment properties and traffic load
Solution Approach 1:
User equipment autonomously determines its own cell individual offset bias based on its measured radio conditions, characteristics, and the configured parameters from the network. Each user equipment self-adjusts its bias without requiring complex network control for each individual case, thereby achieving adaptability while keeping network-side implementation relatively simple.
Solution Approach 2:
The patent changes the cell individual offset parameter dynamically based on user equipment characteristics and radio conditions. By adjusting this key parameter, the system achieves adaptability to different user equipment properties and traffic scenarios without fundamentally changing the cell selection mechanism or requiring complex additional infrastructure.
3Productivity
If user equipment switches to low power node early in high interference conditions, then capacity is increased, but handover performance deteriorates for some user equipment
Solution Approach 1:
The patent applies different cell individual offset biases to different user equipment based on their specific interference tolerance and characteristics. User equipment with better interference handling capabilities receives larger biases that encourage early handover to low power nodes, while user equipment more sensitive to interference receives smaller biases, maintaining handover reliability. This local differentiation allows the system to increase overall capacity without uniformly degrading handover performance.
Solution Approach 2:
The cell individual offset acts as an intermediary parameter that mediates between the conflicting goals of increasing system capacity through early handovers and maintaining reliable handovers. By adjusting this intermediate bias parameter based on user equipment characteristics, the system finds an optimal balance that enables capacity improvement while preserving handover success rates.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
A wireless communication network node cell selection bias method and user equipment cell selection bias method along with a computer program, a network node and user equipment are disclosed. The network node cell selection bias method comprises: communicating to user equipment a control signal operable to control said user equipment to determine a maximum cell individual offset bias for use when applying a cell bias for selecting a neighbouring cell.