Root Sequence Index Assignment Optimization for 5G Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In advanced networks like 5G, the limited number of Root Sequence Index (RSI) assignments leads to conflicts, causing network performance degradations in UE cell selection, handovers, and radio frequency condition status estimates, due to the reuse of RSIs across cells, resulting in interference issues.
Innovation Solution
A system and method for optimizing RSI assignments by determining a set of non-dominated solutions that maximize the minimum RSI distance between neighbor cells, while minimizing network changes, using a multi-objective optimization framework that includes a decoder-based approach to ensure efficient RSI allocation and deployment, allowing for automated and manual selection of optimal RSI configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If RSI assignments are reused across multiple cells to handle network scale, then network coverage and capacity are improved, but RSI conflicts occur causing network performance degradation
Solution Approach 1:
The patent applies local quality by making RSI assignments cell-specific rather than uniform across the network. Each cell is assigned a unique RSI from the limited set of available RSIs, creating localized uniqueness in each cell's configuration. This allows the network to scale coverage while maintaining reliable performance by preventing RSI conflicts at the local cell level.
Solution Approach 2:
The patent changes the parameter assignment approach by introducing a systematic method to assign RSIs based on cell identity and network topology. Instead of random or simple sequential assignment, the system uses a mathematical approach that considers cell coordinates and network layout to assign RSIs that minimize conflicts while maximizing coverage area.
2Reliability
If unique RSI assignments are enforced for all cells to avoid conflicts, then network performance is improved, but the limited number of RSIs becomes insufficient for network expansion
Solution Approach 1:
The patent solves the RSI scarcity problem by introducing additional dimensions to the assignment process. Instead of simply assigning RSIs sequentially, the system uses cell geographic coordinates (x, y positions) and network topology information as additional dimensions to determine RSI assignment. This mathematical approach effectively expands the assignment space beyond the limited RSI values themselves.
Solution Approach 2:
The patent segments the network into distinct cells, each with its own unique RSI assignment derived from its specific location and characteristics. By dividing the network into manageable cell units and assigning RSIs based on local cell properties rather than global sequential numbering, the system can support network expansion while maintaining unique assignments within the limited RSI set.
3Reliability
If RSI assignments are optimized for conflict-free operation, then network performance is improved, but network reconfiguration complexity and cost increase
Solution Approach 1:
The patent applies preliminary action by assigning RSIs during network planning and deployment phases rather than attempting to optimize existing assignments. The mathematical assignment method is applied upfront when cells are created or moved, ensuring conflict-free assignments from the start. This prevents the need for complex retrospective reconfiguration of established network elements.
Solution Approach 2:
The system uses automated algorithms that self-determine optimal RSI assignments based on cell location and network topology without requiring manual intervention. The mathematical approach automatically calculates assignments that minimize conflicts, reducing the need for complex manual reconfiguration processes when the network changes.
4Adaptability or versatility
If RSI assignments are frequently updated to adapt to network changes, then network adaptability is improved, but deployment cost and disruption increase
Solution Approach 1:
The patent applies preliminary action by establishing a mathematical RSI assignment framework during network planning that inherently adapts to network changes. When cells are added, removed, or moved, the system recalculates assignments using the same mathematical rules, providing automatic adaptability without requiring frequent manual reconfiguration or incurring high deployment costs.
Data Source
AI summary
Facilitating assignment of root sequence index while minimizing network changes is provided herein. Operations of a system include determining an initial assignment of root sequence indexes for a group of network equipment. The operations can also include evaluating the initial assignment for first assignments that satisfy a defined criterion and second assignments that fail to satisfy the defined criterion. Based on the defined criterion, the operations can include updating the second assignments, resulting in updated second assignments. Further, the operations can include determining a revised assignment of root sequence indexes for the group of network equipment, wherein the revised assignment comprises the first assignments and the updated second assignments.