Wireless Aggregation and Queuing Layer for Throughput Optimization
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Solution Overview
Problem
Wireless networks typically have lower throughput than wired networks due to noise in the medium, and existing standards like 802.11n do not effectively manage frame aggregation and queuing, leading to inefficiencies in data transmission.
Innovation Solution
Implementing an aggregation and queuing layer at the access point that assigns target and acceptable delivery times to frames based on traffic type and characteristics, using sub-queues for prioritization and mapping frames onto a time axis for efficient transmission, allowing for aggregation and reducing overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frames are transmitted individually in wireless networks, then each frame can be transmitted with standard protocols, but the throughput is reduced due to repeated overhead from preambles and setup for each transmission
Solution Approach 1:
The patent combines multiple individual frames into a single aggregated frame for transmission. This merging approach allows the overhead (preamble, setup) to be incurred only once for the aggregated frame rather than repeatedly for each individual frame, thereby improving throughput and reducing time loss.
2Productivity
If larger packets are transmitted to amortize overhead, then transmission efficiency improves, but the standard does not specify when frames should be aggregated or how large they should be, leading to implementation uncertainty
Solution Approach 1:
The patent implements dynamic frame aggregation where the size and composition of aggregated frames are not fixed but adapt based on current network conditions, traffic characteristics, and quality of service requirements. This dynamic approach allows the system to optimize aggregation size in real-time, improving transmission efficiency while managing complexity through adaptive algorithms rather than static rules.
Solution Approach 2:
The patent changes key parameters such as aggregation size, frame timing, and priority levels based on traffic type and network conditions. By dynamically adjusting these parameters, the system can optimize transmission efficiency for different scenarios (e.g., voice vs. data traffic) without requiring complex manual configuration or fixed structures.
3Reliability
If frames are queued with strict timing requirements to meet jitter buffers, then quality of service is maintained, but the queuing and scheduling complexity increases
Solution Approach 1:
The patent segments the queuing system into multiple priority queues (e.g., high priority for voice, medium for video, low for data) with different scheduling policies. This segmentation allows the system to handle different traffic types with appropriate timing requirements separately, maintaining quality of service for time-sensitive traffic while simplifying the overall scheduling complexity through hierarchical management.
Data Source
AI summary
A technique for improved throughput at an access point (AP) involves when frames are received for transmission by the AP, queuing the frames for a particular station. A system constructed according to the technique may include an aggregation and queuing layer. Station queues may be processed by the aggregation and queuing layer before being given to radio hardware for transmission. In an illustrative embodiment, when frames are received by the aggregation and queuing layer, the packet will be assigned a target delivery time (TDT) and an acceptable delivery time (ADT). The TDT is the “ideal” time to transmit a frame, based on its jitter and throughput requirements. Frames are mapped on to a time axis for transmission by TDT. In an illustrative embodiment, each frame is mapped by priority, so that there are separate maps for voice, video, best effort, and background frames. There will be gaps between frames for transmission that can be used for aggregation.