Crossover times in bipartite networks with activity constraints and time-varying switching rates
Author:
Affiliation:
1. Department of Mathematics and Computer Science, Eindhoven University of Technology
2. Mathematical Institute, Leiden University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference21 articles.
1. Levin, D. A., Peres, Y. and Wilmer, E. L. (2009). Markov Chains and Mixing Times. Amer. Math. Soc., Providence, RI.
2. Durrett, R. (2010). Probability: Theory and Examples, 4th ed. Cambridge Series in Statistical and Probabilistic Mathematics 31. Cambridge Univ. Press, Cambridge.
3. BACCELLI, F. and BŁASZCZYSZYN, B. (2009). Stochastic Geometry and Wireless Networks, Volume I—Theory. Foundations and Trends in Networking 3. Now Publishers, Hanover.
4. BORST, S. C., DEN HOLLANDER, F., NARDI, F. R. and SFRAGARA, M. (2020). Transition time asymptotics of queue-based activation protocols in random-access networks. Stochastic Process. Appl. 130 7483–7517.
5. BORST, S. C., DEN HOLLANDER, F., NARDI, F. R. and SFRAGARA, M. (2020). Wireless random-access networks with bipartite interference graphs. Preprint.
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1. Wireless random‐access networks with bipartite interference graphs;Random Structures & Algorithms;2023-11-23
2. Adding edge dynamics to bipartite random-access networks;Stochastic Models;2022-05-17
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