Uplink Scheduler Using Pending Interest Table Snooping
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Solution Overview
Problem
Conventional medium access control protocols in wireless communication systems are inadequate for real-time applications like video conferencing, leading to high latency and insufficient radio resources for active speakers in loaded environments.
Innovation Solution
A hybrid information-centric networking (hICN) architecture that uses a pending interest table (PIT) to identify periodic uplink traffic flows, allowing for optimized resource allocation and scheduling, thereby ensuring sufficient radio resources for client devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional medium access control protocols are used for resource allocation, then general wireless communication is supported, but latency-sensitive real-time applications like video conferencing suffer from high latency and insufficient radio resources
Solution Approach 1:
The system performs preliminary identification of periodic traffic flows by snooping the Pending Interest Table (PIT) to detect patterns of uplink traffic from video conferencing applications. By identifying these periodic flows in advance, the scheduler can pre-allocate radio resources and transmission opportunities before the traffic actually needs to be transmitted, thereby reducing latency and ensuring reliable QoS for real-time applications.
2Productivity
If radio resources are allocated to multiple client STAs in loaded environments, then channel sharing is achieved, but the uplink becomes scarce and unavailable to active speakers
Solution Approach 1:
The scheduler applies different resource allocation strategies to different types of traffic flows. By snooping the PIT, the system identifies periodic traffic flows associated with active speakers in video conferencing applications and allocates dedicated radio resources and transmission opportunities to these flows. This local differentiation ensures that while overall channel sharing maintains productivity, the specific needs of active speakers receive guaranteed resource availability and reliability.
3Reliability
If PIT snooping is implemented to identify periodic traffic flows, then optimized resource allocation is achieved, but system complexity increases
Solution Approach 1:
The system leverages the existing Pending Interest Table (PIT) structure that is already maintained by the hICN architecture for its own routing and forwarding operations. By snooping this existing table, the scheduler identifies periodic traffic flows without requiring a separate monitoring infrastructure. This self-service approach allows the system to optimize resource allocation using already-available information, thereby improving reliability while minimizing the increase in system complexity.
Data Source
AI summary
Techniques and apparatus for optimizing scheduling of uplink traffic are provided. One technique includes determining, based on evaluation of a pending interest table (PIT) at an apparatus, at least one portion of an uplink traffic flow from a client device that satisfies one or more conditions for periodicity. A resource for the at least one portion of the uplink traffic flow that satisfies the one or more conditions for periodicity. An indication of the resource allocation is transmitted to the client device.