Enhanced General Neighbor List for Wireless Cell Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems face challenges in efficiently facilitating cell selection and reselection for mobile devices, particularly in determining optimal access points based on signal quality and service availability, especially when moving between macrocells and femtocells, without requiring extensive provisioning of femtocell information.
Innovation Solution
The implementation of an enhanced General Neighbor List Method (GNLM) that provides mobile devices with a list of pilot frequencies for access points in a geographic region, including GPS information and access point types, allowing proactive discovery and acquisition of communication parameters, enabling seamless cell reselection and location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional cell reselection methods are used, then mobile devices can maintain basic connectivity, but the devices cannot efficiently discover and select optimal access points in mixed macrocell-femtocell environments without extensive provisioning
Solution Approach 1:
The system performs preliminary actions by having access points broadcast their pilot frequencies and geographic region information in advance through the enhanced General Neighbor List. Mobile devices receive and store this information before needing to make cell selection decisions, eliminating the need for complex real-time discovery and extensive provisioning when cell reselection is needed.
Solution Approach 2:
The enhanced General Neighbor List serves as an intermediary mechanism that translates complex femtocell configuration information into a simplified format containing pilot frequencies and geographic regions. This intermediary structure enables mobile devices to efficiently discover and select access points without requiring direct complex provisioning interactions with the network.
2Reliability
If mobile devices continuously scan for access points, then they can maintain optimal connectivity, but this consumes excessive battery power and processing resources
Solution Approach 1:
Mobile devices perform preliminary scanning and acquire access point information (pilot frequencies, geographic regions) in advance when in macrocell coverage. This preliminary action stores necessary discovery information in the device's memory, allowing the device to later rely on stored information rather than continuously scanning, thereby reducing battery consumption while maintaining connectivity quality.
3Stability of the object's composition
If mobile devices rely on macrocell coverage, then they can maintain stable connection, but they cannot seamlessly transition to femtocells when moving out of macrocell coverage area
Solution Approach 1:
While still connected to the stable macrocell, the mobile device performs preliminary actions by receiving and storing the enhanced General Neighbor List containing pilot frequencies and geographic regions of nearby femtocells. This preliminary information acquisition occurs during stable macrocell connection, enabling seamless transition to femtocells when the device moves out of macrocell coverage without losing connection stability.
4Measurement precision
If extensive femtocell information is provisioned to mobile devices, then accurate cell selection is possible, but the provisioning overhead and network complexity increase significantly
Solution Approach 1:
The invention extracts only the essential information elements (pilot frequencies and geographic regions) from the complete set of possible femtocell parameters. By taking out only these critical elements needed for discovery and selection, the system achieves accurate access point identification while minimizing the volume of information that needs to be provisioned and managed in the enhanced General Neighbor List.
Data Source
AI summary
Systems and methodologies are described that facilitate providing neighbor lists to devices comprising pilot frequencies of access points in a specific geographic region. Using the neighbor list, the devices can discover the access points based on scanning the frequencies for the pilot and can determine additional communication parameters from the discovery or based on a subsequent request resulting from discovery. In this regard, access point information need not be provisioned to the devices for locating the access points, selecting/reselecting the access points, providing the access points in a list to an interface, locating the device using triangulation based on GPS position of the access points, and/or the like.


