End-to-End Latency Distribution in Future Mobile Communication Networks

Future applications for next generation mobile networks demand extremely low end-to-end latency and high reliability. Besides new concepts to achieve low latency, there is also a need to prove that the requirements are met and high reliability can be guaranteed under the influence of randomly behaving traffic. Due to the complexity and the ultra-low failure rates, simulations or testbeds are cumbersome or even unfeasible. Thus, this paper aims for a flexible mathematical model that is able to capture the randomness and to analyze the end-to-end latency distribution in networks. The distribution provides not only mean values but also percentiles, which are of key importance for critical communications. Moreover, such a model may help to optimize the network, e. g., by selecting the involved nodes and improving the routing strategy.