Connectivity Management System for Wireless Device Resource Allocation
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Solution Overview
Problem
Current wireless communication networks face inefficiencies in managing resource allocation and tracking devices due to the assumption that all connected devices have similar needs, leading to over-provisioning or under-provisioning of resources, especially with the increasing diversity of devices and mobility patterns.
Innovation Solution
A connectivity management system that provides customized resource allocation based on predictive usage patterns, location tracking, and device-specific profiles, allowing for granular resource allocation and efficient tracking of devices across multiple access technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If all connected devices are provided with the same tracking services and resource allocation, then network management is simplified, but resource efficiency deteriorates due to over-provisioning or under-provisioning for diverse device needs
Solution Approach 1:
The patent segments the network management system into multiple connectivity managers, each specialized for specific device types or service requirements. This allows differentiated resource allocation and tracking services for diverse devices (e.g., MTC devices, mobile UEs, stationary devices) without requiring a completely complex unified management system, thus resolving the contradiction between management simplicity and resource efficiency.
Solution Approach 2:
The patent implements local quality by providing customized tracking and resource allocation services tailored to specific device characteristics and service requirements. Different connectivity managers apply different tracking granularities and resource allocation strategies locally according to device needs, improving resource efficiency while maintaining overall system manageability through modular architecture.
2Device complexity
If coarse tracking of UE activity status and location is used, then network management is simplified, but measurement precision deteriorates
Solution Approach 1:
The patent implements dynamic tracking where the granularity and precision of location tracking adapt based on device state and service requirements. For example, MTC devices may receive coarser tracking while mobile UEs require finer tracking. The system dynamically adjusts tracking parameters and updates based on device mobility patterns and service needs, resolving the contradiction between tracking simplicity and precision.
3Device complexity
If resources are allocated based on binary active/idle state, then device complexity is reduced, but productivity deteriorates due to inefficient resource allocation
Solution Approach 1:
The patent extends the traditional binary active/idle state model by introducing additional parameters and intermediate states to better characterize device activity patterns. Connectivity managers use these enhanced parameters to make more nuanced resource allocation decisions, improving productivity by allocating resources more accurately according to actual device needs while maintaining manageable complexity through systematic parameter management.
Data Source
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AI summary
One aspect of the present invention is to provide a Connectivity Management (CM) function for use in networks such as a wireless network. The CM function can support both User Equipment (UE) and Machine Type Communication (MTC) devices in the network. In one embodiment of the first aspect, there is provided methods and systems for CM for a plurality of different types of devices that may evaluate tracking criteria to determine where and when wireless resources will need to be allocated to a wireless device. In some embodiments, these tracking criteria include location tracking and/or activity tracking. Another aspect provides for the instantiation of virtual CM functions established at appropriate physical nodes to provide device specific or service specific CM.