Network Operator Brokering for Optimal Voice Call Routing
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Solution Overview
Problem
Current technologies fail to efficiently address real-time price fluctuations and quality of service selection among telecommunication service providers, leading to increased advertisement costs and underutilization of idle resources in network operators.
Innovation Solution
A network operator negotiation apparatus and telephone system that automatically selects an optimal call routing path based on subscriber-defined conditions, using an exchanger, network operator negotiation agent, and call relay to couple subscribers to the best available access network for voice calls, considering real-time price and quality information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If special telecommunication service providers use advertisement costs to dominate the market, then market share is improved, but call charges increase for consumers
Solution Approach 1:
The system enables automatic selection of telecommunication service providers through intelligent agents that autonomously negotiate and select optimal routing paths based on real-time pricing information, eliminating the need for consumer awareness and manual selection
Solution Approach 2:
The system implements real-time feedback mechanisms where pricing information from multiple service providers is continuously collected, analyzed, and used to dynamically adjust routing decisions, ensuring consumers always access the most cost-effective options
2Adaptability or versatility
If telecommunication service providers present extraordinarily inexpensive prices for specific countries, then competitiveness is improved, but consumers must actively seek and recognize these offers
Solution Approach 1:
The system performs preliminary actions by pre-negotiating and storing pricing information from multiple service providers before consumers need to make calls, so that when a call is needed, the optimal provider is automatically selected without requiring consumer research or awareness
Solution Approach 2:
The intelligent agent system acts as an intermediary between consumers and telecommunication service providers, automatically handling the complex task of comparing and selecting providers based on real-time pricing, thereby shielding consumers from the need to actively seek out competitive offers
3Productivity
If network operators expend marketing costs to utilize idle resources, then resource utilization is improved, but additional costs are incurred
Solution Approach 1:
The system enables idle network resources to be automatically utilized through intelligent agents that autonomously negotiate and select optimal routing paths, eliminating the need for expensive marketing campaigns to promote underutilized network capacity
Solution Approach 2:
The system implements real-time feedback on network resource availability and pricing, allowing idle resources to be dynamically matched with call traffic based on current conditions, thereby automatically improving utilization without additional marketing expenditures
4Loss of information
If conventional technologies store telephone charge information in terminal memory, then information availability is improved, but real-time price fluctuation cannot be met
Solution Approach 1:
The system implements continuous feedback mechanisms where pricing information from service providers is dynamically updated and retrieved in real-time during call setup, ensuring that the most current pricing data is always used for routing decisions
Solution Approach 2:
The system transitions from static stored pricing information to dynamic real-time pricing queries, allowing the intelligent agents to adapt to changing price conditions by continuously negotiating with service providers based on current demand and availability
5Loss of energy
If conventional technologies select service providers based only on telephone charges, then cost savings are improved, but quality of service cannot be considered
Solution Approach 1:
The system expands the selection criteria from a single parameter (telephone charge) to multiple parameters including quality of service metrics, enabling intelligent agents to negotiate and select providers based on composite evaluations that balance cost with service quality requirements
Data Source
AI summary
A system and method for selecting a path for a voice call over an access network from a plurality of access networks. The system includes a call negotiation agent configured to store price information associated with the voice call in which the price information is provided through at least one of the plurality of access networks. According to the present invention, a call negotiation server is configured to store the price information associated with a voice call and store the estimation information indicative of the quality of the access networks after the voice call through the plurality of access networks is completed. The system also performs a call negotiation with at least one network operator in real time using the price information and the estimation information and selects an access network for providing a path among the plurality of access networks.