Abstract:
3GPP is working hard to achieve 5G sub-millisecond latencies. If exogenous transport layer delays are ignored, such efforts may fail. To avoid wasting wireless resources, Radio Access Networks (RANs) are deployed with large buffers.
TCP’s congestion control algorithm bloats RAN’s buffers because the radio link is the data path’s bottleneck. Thus, a low-latency flow that encounters a bloated buffer suffers from inevitable large sojourn times associated with the buffer depletion time, severely degrading its QoS.
This project proposes multiplexing 5G stack buffers with different traffic patterns efficiently. In the 5G QoS scenario, bufferbloat is extensively studied due to the dynamic radio link and multiple queues at different entities.
To avoid bufferbloat-induced delays, we propose and extensively emulate various algorithms. Different scenarios use real cellular network traces with realistic delay-sensitive and background traffic patterns. The result provides insights into algorithms that will allow the 5G network stack to deliver low-latency services under strict constraints.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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