Service Plan Design for Dynamic Data Allocation
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Solution Overview
Problem
The increasing data usage capabilities of mobile devices have led to high costs for users due to limited data plans and potential overages, causing network operators to lose revenue and users to be hesitant to utilize data services, while application developers struggle to promote their applications amidst a vast app marketplace.
Innovation Solution
A system and method that allows users to customize and manage service plans for multiple devices, enabling flexible service plan sharing, assignment, and monitoring, along with improved presentation and discovery of services and applications through graphical user interfaces and application programming interfaces (APIs), facilitating network operators and application developers to promote data services and applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If users subscribe to service plans with limited data usage, then users can control their data consumption and avoid overage costs, but users cannot take advantage of wireless access network data services to their full potential
Solution Approach 1:
The system dynamically adjusts service plan allocations among multiple devices based on real-time usage patterns and device priorities. Users can modify data allowances, sharing ratios, and device assignments on-the-fly through the user interface, allowing the service plan to adapt to changing needs without requiring plan changes or incurring overage fees.
Solution Approach 2:
A single service plan account serves multiple mobile devices simultaneously, with the ability to allocate and reallocate data allowances across different devices. This multi-functional approach allows one service plan to cover various devices (smartphone, tablet, laptop) with different usage patterns, maximizing data service utilization while staying within the total data allowance.
2Use of energy by moving object
If network operators eliminate or increase the price of unlimited data service plans, then network operators can manage network bandwidth capabilities, but users face high costs and are reticent to take advantage of wireless access network data services
Solution Approach 1:
The system segments the total data allowance into allocable portions for different devices and usage types. Users can divide their data allowance among multiple devices with different priority levels and usage patterns, allowing network operators to manage bandwidth more effectively while users pay only for their allocated portion without facing high overage costs.
Solution Approach 2:
The system allows dynamic adjustment of data allocation parameters (allowances, sharing ratios, priority levels) without changing the fundamental service plan structure. This enables flexible resource management where users can optimize their data usage across devices while network operators maintain control over total bandwidth consumption.
3Ease of operation
If users subscribe to service plans that include only a limited amount of data per fixed time period, then users can manage their data consumption, but users may exceed their data plan allowance without realizing it and face significantly higher billing rates
Solution Approach 1:
The system provides real-time feedback to users through the user interface about data consumption across all devices linked to the service plan. Users can monitor current usage, remaining allowances, and projected costs, enabling informed decisions about data usage before exceeding plan limits and incurring overage charges.
Solution Approach 2:
The system performs preliminary actions by allocating data allowances to different devices before usage occurs and providing advance warnings when approaching data limits. This allows users to proactively manage their data consumption across devices and reallocate allowances before exceeding the total plan allowance, avoiding costly overages.
4Adaptability or versatility
If application developers have little control over whether a subscriber finds their applications in a vast app marketplace, then application developers can publish their applications, but application developers struggle to promote their applications and achieve success
Solution Approach 1:
The system introduces an intermediary mechanism where service plans and device profiles act as filters and promoters for relevant applications. Based on user data consumption patterns, device types, and service plan characteristics, the system recommends and promotes relevant applications to users, helping developers reach their target audience without manual marketing efforts.
Data Source
AI summary
There is provided a network message server configured to establish a secure network data connection between the network message server and a mobile end-user device, the secure network data connection supported by a socket including a socket identifier (ID) having at least one of a port address or a port number, receive a request to transmit data to one of a plurality of mobile applications a the mobile end-user device, the request including a device ID corresponding to the mobile end-user device and one of a plurality of mobile application IDs corresponding to the one of the plurality of mobile applications, and generate a network data message based on the request, the network data message including application data and the one of the plurality of mobile application IDs corresponding to the one of the plurality of mobile applications.