Femto Node User Zone List for Wireless Search Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing wireless communication systems face inefficiencies in searching for and reading system information from multiple femto nodes, leading to resource unavailability and prolonged search times for mobile units.
Innovation Solution
A method and apparatus for determining and storing communication interface types for access nodes in a user zone list, allowing for efficient identification and selection of preferred femto nodes by filtering out non-relevant nodes, thereby reducing search time and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile units search for and read system information of multiple femto nodes, then comprehensive node information is obtained, but search time and resource consumption increase significantly
Solution Approach 1:
The system pre-generates and stores a user zone list containing femto node information at a macro node before the mobile unit arrives. This preliminary preparation allows the mobile unit to quickly retrieve pre-filtered node information without performing exhaustive searches, thus reducing search time while maintaining comprehensive information availability.
Solution Approach 2:
A macro node acts as an intermediary between the network and mobile units, consolidating and pre-processing femto node information. The macro node retrieves system information from multiple femto nodes, filters relevant data, and presents it to mobile units through a user zone list, eliminating the need for mobile units to directly search all femto nodes.
2Reliability
If mobile units search for and read system information of multiple femto nodes, then complete system information is acquired, but resource availability decreases
Solution Approach 1:
The macro node pre-retrieves and consolidates system information from multiple femto nodes before mobile units need it. This preliminary action ensures complete information is available when needed, while mobile unit resources remain available for other tasks during the information gathering process.
Solution Approach 2:
The macro node serves as an intermediary that performs the resource-intensive information gathering and filtering tasks on behalf of mobile units. This transfers the resource burden from mobile units to the macro node, maintaining information completeness while preserving mobile unit resource availability for communication tasks.
3Reliability
If all femto nodes are included in the search, then no relevant nodes are missed, but identification efficiency decreases
Solution Approach 1:
The system extracts only the relevant femto node information from the complete set of available nodes and includes it in the user zone list. By taking out and presenting only the subset of nodes that are actually relevant to the user's location and service requirements, the system maintains identification completeness for relevant nodes while dramatically improving identification efficiency.
Solution Approach 2:
The user zone list provides locally optimized information tailored to the specific user's context and location. Rather than presenting all femto nodes uniformly, the system adapts the information set to local requirements, including only nodes that are relevant to that particular user zone, thus improving identification efficiency without sacrificing completeness of relevant information.
Data Source
AI summary
Systems and methods for storing information in a user zone list are described herein. According to the systems and methods herein, the user zone list includes multiple user zone files and the user zone files include information regarding a communication interface type.