Adaptive Guaranteed Bitrate Bearer Resource Allocation
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Solution Overview
Problem
Current wireless communication systems face challenges in maintaining stable Guaranteed Bit Rate (GBR) bearers, especially in congested networks, leading to sub-optimal quality of service due to independent adaptation by each client-server pair, which results in inefficient resource allocation and unacceptable quality for some users.
Innovation Solution
Implementing an adaptive guaranteed bitrate (AGBR) system that dynamically adjusts bandwidth allocation based on network congestion and device-specific information, using Quality of Service (QoS) Class Identifiers to manage resource allocation in eNodeB for adaptive bit rate applications like HTTP Adaptive Streaming (HAS) and AMR codecs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Guaranteed Bit Rate (GBR) bearers are established with fixed bandwidth allocation, then quality of service is maintained for real-time services, but network resources are excessively consumed when subscribers are in poor RF conditions or when network congestion increases
Solution Approach 1:
The patent implements dynamic bandwidth allocation for GBR bearers by introducing a bandwidth adaptation mechanism that adjusts the guaranteed bandwidth based on current network conditions and subscriber requirements. The system periodically re-evaluates the necessary bandwidth for each GBR bearer and modifies allocations accordingly, transitioning from static to dynamic resource management to optimize both service quality and resource efficiency.
Solution Approach 2:
The patent changes the bandwidth parameter of GBR bearers dynamically based on network conditions. The system monitors network load, RF conditions, and service requirements to adjust the guaranteed bandwidth parameter in real-time, allowing the network to allocate more resources when needed and reduce allocations when conditions improve or network congestion increases.
2Productivity
If each client-server pair independently adapts content delivery rate using adaptive techniques, then local optimization is achieved, but overall quality of service is compromised without channel stability and resource allocation becomes inefficient
Solution Approach 1:
The patent introduces the network infrastructure (base station and core network elements) as an intermediary that coordinates bandwidth allocation across multiple client-server pairs. Instead of purely independent client-side adaptation, the network mediator receives bandwidth requirements from multiple clients, considers overall network conditions, and makes centralized bandwidth allocation decisions that balance individual client needs with network-wide resource efficiency.
Solution Approach 2:
The patent merges independent client-side adaptive delivery mechanisms with network-side coordinated resource management. The system combines local optimization (client adapting content rate) with global optimization (network coordinating bandwidth allocation), creating a hybrid approach that achieves both individual client performance and overall network efficiency.
3Reliability
If GBR value is determined a-priori for real-time services, then service quality at a known level is provided, but the system cannot adapt to variations in available throughput and network congestion
Solution Approach 1:
The patent transforms the static GBR value determination into a dynamic process. Instead of setting the GBR value once a-priori and maintaining it fixed, the system continuously monitors network conditions, service requirements, and RF conditions, then dynamically adjusts the GBR value to balance service quality guarantees with adaptability to changing throughput conditions.
Data Source
AI summary
The method includes retrieving subscriber and device information based on an application identifier and a GBR request indication, sending a message to a network entity, the message including a Quality of Service (QoS) Class Identifier (QCI), the QCI indicating an AGBR bearer is to be used for delivering content to a mobile unit, generating an AGBR bearer based on the QCI and a GBR setting and associating the content with the AGBR bearer. The method includes sending a message and the content to a network entity, the message including the QCI, scheduling the mobile unit on the AGBR bearer based on the QCI and communicating the content to the mobile unit based on the schedule.