Wireless Cell Mapping for Accurate Identification and Load Balancing
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Solution Overview
Problem
Existing software programs struggle to accurately identify and manage wireless cells due to the use of non-unique identifiers, leading to inefficiencies in decoding encoded information and load balancing across software containers in radio access networks.
Innovation Solution
Implementing a mapping system that assigns unique identifiers to wireless cells and utilizing application programming interfaces (APIs) to facilitate communication and load balancing among software containers, enabling them to scale resources based on utilization information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If non-unique identifiers are used for wireless cells, then device complexity is reduced, but measurement precision and reliability of cell identification deteriorate
Solution Approach 1:
The patent introduces a mapping data structure as an intermediary between the simplified non-unique identifiers and the actual unique cell identifiers. This mapping table stored in memory resolves the ambiguity by providing a reference that translates ambiguous identifiers into unique ones, allowing the system to maintain simple identifier management while achieving accurate cell identification through the intermediary mapping mechanism.
2Adaptability or versatility
If software containers are deployed to handle wireless cell traffic, then scalability and resource management improve, but device complexity and communication overhead increase
Solution Approach 1:
The patent segments the wireless cell traffic handling functionality into separate software containers, each responsible for specific cells or groups of cells. This segmentation enables independent deployment, scaling, and management of container instances, improving network scalability while the standardized container interfaces manage the added architectural complexity through modular design.
Solution Approach 2:
The patent creates a universal software container framework that can handle multiple wireless cells through standardized APIs and mapping mechanisms. This multi-functional container design allows a single container type to serve multiple cells by utilizing the mapping data structure, thereby achieving scalability without proportionally increasing complexity through functional specialization.
3Productivity
If multiple software containers handle different wireless cells, then load balancing capability improves, but measurement precision for resource allocation deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where software containers report their resource utilization status back to the management system. This feedback loop enables the system to monitor actual resource consumption by containers handling different wireless cells, providing precise measurement data that feeds into load balancing decisions and resource allocation optimizations, thereby maintaining both productivity and measurement precision.
Data Source
AI summary
Apparatuses, systems, and techniques to identify wireless cells. In at least one embodiment, encoded information from a first wireless cell identified by a first wireless cell identifier are decoded based, at least in part, on a second wireless cell identifier corresponding to the first wireless cell.


