Cell Selection Candidate List Assembly for Mobile Transitions
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Solution Overview
Problem
Current cell selection procedures in mobile communications, particularly in UMTS networks, often result in inefficient resource utilization and increased power consumption as they rely on the existing serving cell or active set, which may not be the best available cell for changed communication needs, and do not account for network-preferred cells or recent congestion data.
Innovation Solution
A cell selection apparatus and method that assembles a candidate set of cells including network-preferred cells, neighboring cells, and cells identified by historic behavior, allowing selection based on predetermined criteria such as power measurements and network preferences, to optimize cell choice during transitions between connected states or to idle mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the existing serving cell or active set is used for cell selection during state transitions, then the cell selection process is simple and fast, but resource utilization is inefficient and power consumption increases
Solution Approach 1:
The network controller pre-identifies and provides a list of suitable candidate cells to the mobile device before the state transition occurs. This preliminary action allows the device to immediately select from pre-vetted options rather than performing extensive measurements and evaluations after transition, thereby improving selection efficiency while reducing post-transition power consumption.
Solution Approach 2:
The network controller utilizes congestion data and historical performance information to dynamically adjust and update the candidate cell list provided to mobile devices. This feedback mechanism ensures that the candidate cells are continuously optimized based on current network conditions, improving resource utilization efficiency without requiring the device to perform additional measurements.
2Loss of time
If the existing serving cell or active set is used for cell selection, then the selection process is quick, but unnecessary cell updates and reselections occur
Solution Approach 1:
The network controller proactively identifies and provides candidate cells that are likely to be suitable for the mobile device's new state before the transition occurs. This preliminary preparation reduces the need for subsequent cell updates and reselections, thereby maintaining connection stability without increasing selection time.
Solution Approach 2:
The system uses congestion data and historical behavior information to continuously refine the candidate cell recommendations. This feedback ensures that the provided candidate cells are more likely to be appropriate for the device's current and future needs, reducing the frequency of unnecessary cell updates and reselections while maintaining quick selection.
3Productivity
If a broader range of candidate cells is considered, then cell selection optimizes radio link efficiency, but the complexity of the selection process increases
Solution Approach 1:
The network controller extracts and provides only the most relevant candidate cells from the complete network cell database, based on congestion data and historical behavior. This extraction approach allows the mobile device to consider a broader range of potentially suitable cells without having to process the entire network cell database, thereby maintaining selection process simplicity while improving radio link efficiency.
Solution Approach 2:
The network controller acts as an intermediary that performs the complex task of evaluating all network cells against multiple criteria (congestion, historical behavior, suitability for new state) and distilling the results into a manageable candidate list. This mediator approach shifts the computational complexity from the mobile device to the network controller, allowing the device to benefit from comprehensive evaluation without bearing the complexity burden.
4Productivity
If network-preferred cells and historic behavior data are utilized, then resource utilization improves, but the information processing requirements increase
Solution Approach 1:
The network controller serves as an intermediary that collects, processes, and analyzes congestion data and historical behavior information centrally. By performing this data processing at the network level rather than at each mobile device, the system improves resource utilization through informed cell selection while minimizing the information processing burden on individual devices.
Solution Approach 2:
The network controller extracts only the essential insights from extensive congestion and historical data, providing a condensed candidate cell list to mobile devices. This extraction approach allows the system to leverage comprehensive network-wide information for optimized resource utilization while keeping the data exchange and processing requirements at the device level minimal.
Data Source
AI summary
Mobile user equipment for use in a cellular communications environment performs an improved cell selection on transitions out of a connected mode state. The transitions might be from one connected mode state to another or from a connected mode state to idle mode. The improvement in cell selection lies in assembling the list of candidate cells prior to cell selection. In the prior art, the list of candidate cells would usually be restricted to the serving cell or active cells supporting communication between the equipment and the network prior to transition. In embodiments of the invention, the list might comprise cells which are not the serving cell or which are outside the active set, for example a network-preferred cell or cells neighbouring the serving cell or cells of the active set.