Dealing with Dependence in Stochastic Network Calculus – Using Independence as a Bound

2020 ◽  
pp. 71-84
Author(s):  
Paul Nikolaus ◽  
Jens Schmitt ◽  
Florin Ciucu
Keyword(s):  
Network Calculus ◽  
Stochastic Network ◽  
Stochastic Network Calculus

A Stochastic Network Calculus Approach for the End-to-End Delay Analysis of LTE Networks

2012 ◽  
Vol 35 (1) ◽  
pp. 46-52 ◽  
Author(s):  
Xin CHEN ◽  
Lei ZHANG ◽  
Xu-Dong XIANG ◽  
Jian-Xiong WAN
Keyword(s):  
Delay Analysis ◽  
Network Calculus ◽  
Stochastic Network ◽  
Lte Networks ◽  
End To End Delay ◽  
End To End ◽  
Stochastic Network Calculus

h-Mitigators: Improving your stochastic network calculus output bounds

2019 ◽  
Vol 144 ◽  
pp. 188-197 ◽  
Author(s):  
Paul Nikolaus ◽  
Jens Schmitt ◽  
Malte Schütze
Keyword(s):  
Network Calculus ◽  
Stochastic Network ◽  
Stochastic Network Calculus

scholarly journals A Guide to the Stochastic Network Calculus

2015 ◽  
Vol 17 (1) ◽  
pp. 92-105 ◽  
Author(s):  
Markus Fidler ◽  
Amr Rizk
Keyword(s):  
Network Calculus ◽  
Stochastic Network ◽  
Stochastic Network Calculus

Modelling Rayleigh Fading Channel in Underwater Wireless Communication Networks using Stochastic Network Calculus

2017 ◽  
Vol 84 (1-2) ◽  
pp. 29 ◽  
Author(s):  
M. R. Christhu Raj ◽  
Rajeev Sukumaran
Keyword(s):  
Communication Networks ◽  
Fading Channel ◽  
Wireless Channels ◽  
Network Performance ◽  
Wireless Channel ◽  
Network Calculus ◽  
Stochastic Network ◽  
Underwater Acoustic ◽  
Simulation Performance ◽  
Stochastic Network Calculus

A fundamental issue in underwater acoustic wireless channels is in analyzing the backlog and delay bounds that directly impacts the Quality of Service (QoS) performance in networks. Modern networks have been increasingly complex over the past few years in terms of control algorithms, applications and service expectations. Deterministic Networks Calculus (DNC) is not applicable to analyze QoS for the present day packet switched multimedia networks due to their inherently random behavior. To overcome these issues, Stochastic Network Calculus (SNC) has given rise to the optimism that it can emerge as an elegant mathematical modeling tool for assessing current network performance. In this work, we develop an underwater acoustic wireless channel subject to fading eects based on SNC that obtains Stochastic Arrival Curve (SAC) and Stochastic Service Curve (SSC). Using this we also derive the stochastic performance for delay and backlog bounds in underwater acoustic fading channel. The simulation performance analysis and bounds show that this method can provide guidelines for designing transmission strategies in underwater acoustic wireless channels.

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