Paper Info
Title
Rate Measurement Over Short Time Scales in Stationary Cellular Receivers
Abstract
An increasing number of cellular congestion control algorithms (CCAs) are becoming reliant on measurements of the delivery rate observed at the receiver. Accordingly, early detection of changes in the receiver's rate would improve the performance of such algorithms. In addition to CCAs, faster detection of rate can also benefit available throughput estimation tools that rely on rate measurements. The upper layers of a cellular receiver could achieve faster rate detection through rate measurements over short time intervals. However, for cellular receivers, upper-layer rate measurements over short time scales produce unreliable results due to the effect of underlying lower layer mechanisms such as scheduling and retransmissions. In this paper, we introduce a Kalman filter based rate estimation approach that reduces the variability observed in short time scale receiver rate measurements and allows faster rate change detection. We also integrate an adaptive mechanism to facilitate online estimations in a network with an unknown or changing characteristic.
Year
DOI
Venue
2019
10.23919/TMA.2019.8784668
2019 Network Traffic Measurement and Analysis Conference (TMA)
Keywords
Field
DocType
Cellular,Rate estimation,Kalman filter
Early detection,Change detection,Noise measurement,Scheduling (computing),Computer science,Kalman filter,Congestion control algorithm,Real-time computing,Throughput,Rate measurement
Conference
ISBN
Citations 
PageRank 
978-1-5386-7372-0
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Habtegebreil Haile122.09
Per Hurtig27211.89
Karl-Johan Grinnemo314321.42