Candidate Set Management in Heterogeneous Wireless Networks
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Solution Overview
Problem
In heterogeneous wireless communication networks, selecting the most suitable cell for user equipment (UE) to achieve optimal performance is challenging due to the mix of macro, pico, and femto cells with varying transmit power levels and interference patterns, leading to inefficiencies in spectrum reuse and network capacity.
Innovation Solution
Maintaining multiple candidate sets of cells based on different classes, such as transmit power levels, association types, and backhaul capabilities, to facilitate server selection and interference management, allowing for flexible and optimized cell association and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single candidate set of cells is used for UE service selection, then the cell selection process is simple, but the network cannot optimize performance across heterogeneous cells with different transmit power levels and interference patterns
Solution Approach 1:
The patent divides the candidate cell set into multiple separate candidate sets based on cell classes (e.g., macro cells, pico cells, femto cells) and transmit power levels. Each candidate set is managed independently with specific selection criteria, allowing the UE to select from heterogeneous cell types while maintaining manageable complexity through structured organization rather than a single monolithic candidate set.
Solution Approach 2:
Different candidate sets are established with specific local qualities or characteristics - for example, one candidate set for cells with lower transmit power levels and another for higher power cells. This allows optimization of performance for specific local conditions (such as interference scenarios or coverage requirements) while maintaining overall system adaptability across different network conditions.
2Reliability
If multiple candidate sets of cells are maintained for different classes, then server selection and interference management are optimized, but the complexity of managing and updating candidate sets increases
Solution Approach 1:
By segmenting candidate sets into class-based groups (macro, pico, femto cells) and power-level groups, the patent enables targeted interference management for each set while reducing overall management complexity. Each segmented set can be updated and managed according to its specific characteristics, making the system more reliable for interference reduction without overwhelming complexity.
Solution Approach 2:
The patent implements dynamic maintenance of candidate sets where cells can be added to or removed from specific candidate sets based on changing network conditions, UE location, and measurement reports. This dynamic approach allows the system to adapt to varying interference conditions and network topology while maintaining manageable complexity through automated management procedures.
3Productivity
If cells are selected based on multiple criteria including transmit power levels and association types, then network capacity is improved, but the measurement and reporting overhead increases
Solution Approach 1:
The patent segments measurement and reporting requirements by candidate set class. Different measurement criteria are applied to different candidate sets (e.g., power level measurements for macro cells, association type measurements for femto cells). This segmentation allows efficient multi-criteria selection for network capacity optimization while reducing overall overhead by tailoring measurements to specific cell types rather than uniformly applying all measurements to all cells.
Solution Approach 2:
The patent applies partial measurement and reporting actions appropriate to each candidate set class rather than requiring full comprehensive measurements for all cells. For example, certain measurement types may be required for macro cells but not for pico or femto cells, reducing total measurement overhead while maintaining sufficient information for network capacity optimization through selective measurement strategies.
Data Source
AI summary
Techniques for managing candidate sets for a user equipment (UE) are described. In an aspect, multiple candidate sets of cells of different classes may be maintained for the UE. Each candidate set may include cells of a particular class. As some examples, the multiple candidate sets may be for cells of different transmit power levels, cells of different association types, cells associated with different resources, etc. The multiple candidate sets may be maintained separately based on applicable criteria and rules. The multiple candidate sets may be used to select a serving cell for the UE and/or for other communication purposes for the UE. In another aspect, one or more candidate sets may be maintained for the UE and may be used for multiple communication purposes for the UE. The multiple communication purposes may include server selection, interference management, measurement reporting, etc.