Wireless Subscriber Uplink Grant Size Selection
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Solution Overview
Problem
WiMAX networks face challenges in uplink transmission scheduling due to arbitration between multiple subscriber stations and allocation of bandwidth with varying Quality of Service (QoS) requirements, leading to inefficiencies such as jitter and lost scheduling, particularly in handling simultaneous VoIP calls and variable-rate CODEC data streams.
Innovation Solution
A wireless subscriber analyzes uplink traffic patterns, selects a new grant size based on these patterns, and signals this new size to the base station for adaptive uplink scheduling, allowing for efficient allocation of resources and accommodating variable traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed uplink grant sizes are allocated to subscriber stations, then scheduling simplicity is maintained, but network efficiency deteriorates due to inability to adapt to variable traffic patterns
Solution Approach 1:
The patent implements dynamic uplink grant size allocation where the base station adjusts grant sizes adaptively based on observed traffic patterns and QoS requirements of different subscriber stations. This transforms the static scheduling approach into a dynamic one that responds to changing network conditions, thereby improving network efficiency without requiring complex subscriber-side scheduling decisions
Solution Approach 2:
The system employs feedback mechanisms where the base station monitors uplink traffic patterns from multiple subscriber stations and uses this information to make informed scheduling decisions. The feedback loop allows the base station to adjust grant sizes based on actual network conditions and QoS requirements, resolving the contradiction between efficiency and complexity by centralizing the intelligence at the base station
2Reliability
If uplink bandwidth is allocated to support multiple services with different QoS requirements, then service quality is improved, but spectrum arbitration complexity increases
Solution Approach 1:
The patent applies local quality by allocating different uplink grant sizes and scheduling parameters to different subscriber stations based on their specific QoS requirements and traffic characteristics. Each subscriber station receives customized scheduling treatment rather than uniform allocation, allowing the system to meet diverse QoS needs while keeping the arbitration logic manageable at the base station
Solution Approach 2:
The system changes scheduling parameters such as grant size, timing, and frequency allocation dynamically based on QoS requirements and traffic patterns. By adjusting these parameters centrally at the base station, the system can provide reliable QoS guarantees for different services without requiring complex arbitration mechanisms at each subscriber station
3Ease of operation
If adaptive uplink scheduling is implemented based on traffic patterns, then user experience is improved, but impact on wireless spectrum increases
Solution Approach 1:
The patent implements partial adaptation by adjusting uplink grant sizes based on significant traffic pattern changes rather than continuously adapting to every fluctuation. This approach improves user experience for variable-rate services like VoIP while minimizing unnecessary signaling overhead and spectrum consumption that would result from excessive adaptation to minor traffic variations
Data Source
AI summary
A method and apparatus of a wireless subscriber requesting an Uplink (UL) grant size from a base station (BS) are disclosed. One method includes the subscriber analyzing traffic patterns of uplink data, the subscriber selecting a new grant size based on the analyzed traffic patterns, and the subscriber requesting the new grant size by signaling the new grant size to the BS.