Master Base Station Router Multicast Flow Distribution
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Solution Overview
Problem
Multimedia content distribution in wireless networks faces challenges with base station router overload and potential failure, especially as traffic increases, due to the integration of Radio Nodes, Radio Network Controllers, and Packet Data Serving Nodes into single units like Base Station Routers, which can lead to reduced reliability and efficiency in processing multicast and unicast flows.
Innovation Solution
A system where a master base station router assigns processing tasks to a group of slave base station routers based on their processing capacity, with periodic or event-triggered capacity updates, and incorporates backup routers to manage flow operations and alert other components in case of failures, thereby distributing processing load and ensuring redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multimedia content traffic increases in integrated Base Station Routers, then network capacity and service coverage are improved, but router overload and system failure risk increase
Solution Approach 1:
The patent divides the Base Station Router functionality into separate modular components: Radio Nodes (RN), Radio Network Controllers (RNC), and Packet Data Serving Nodes (PDSN). This segmentation allows traffic processing to be distributed across multiple specialized units rather than concentrated in a single router, thereby increasing network capacity while reducing the risk of overload-induced failure in any single component.
Solution Approach 2:
The system dynamically adjusts operational parameters by introducing load balancing mechanisms that monitor and redistribute traffic flows based on real-time router capacity status. When traffic increases, the system modifies routing parameters to divert excess load to underutilized routers or alternative paths, maintaining reliability while accommodating higher network capacity demands.
2Use of energy by stationary object
If services are integrated into a single Base Station Router unit, then space needs and power consumption are reduced, but processing capacity and reliability decrease under increasing traffic
Solution Approach 1:
By segmenting the integrated router into separate RN, RNC, and PDSN components deployed across multiple physical units, the system achieves distributed processing capacity that scales with traffic demands. While each individual unit consumes less power than a monolithic router handling all functions, the collective processing capacity of multiple units exceeds that of a single integrated router, resolving the contradiction between energy efficiency and processing capacity.
Solution Approach 2:
The modular architecture allows each component type (RN, RNC, PDSN) to perform multiple functions within its domain while collaborating with other components. This multi-functionality at the component level enables the distributed system to achieve the processing capacity of a large integrated router while maintaining the space and power efficiency benefits of smaller individual units.
3Device complexity
If a single Base Station Router processes all flows, then device complexity is reduced, but ease of operation and load management become difficult under high traffic
Solution Approach 1:
The distributed router system implements feedback mechanisms where each router component continuously monitors its own load status and exchanges information with other components through standardized interfaces. This feedback enables automatic load balancing and dynamic resource allocation, making load management easier despite the increased number of components. The system self-regulates traffic distribution based on real-time conditions without requiring complex manual configuration.
Solution Approach 2:
The architecture employs dynamic load balancing and flexible routing where traffic flow paths are not fixed but adapt in real-time based on router capacity, traffic patterns, and system conditions. This dynamic behavior simplifies operation by allowing the system to automatically optimize its own performance rather than requiring static, pre-configured load management for each possible scenario.
Data Source
AI summary
In addition to other aspects disclosed, in response to being informed by a controller of a flow for transmission to at least one access terminal in a wireless network, a master base station router assigns the flow to one of a plurality of slave base station routers to process the flow for transmission to the access terminal.