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The selection/resolution model of coordinating concurrent processes (s/r model) may be interpreted stochastically when processes have semi-deterministic resolutions, thereby casting the significant

In this paper, we analyze the generic problem of implementing a system that requires manual effort for converting paper records in a manual file system (MFS) to mechanized computer records in a dat

We showed in previous work how complex stochastic automata can be constructed from simple stochastic parts networked together.

Resource sharing problems naturally arise in case of wireless networks where the transmission medium is inherently broadcast and transmission resources, e.g., frequency channels, transmission power

Stochastic analyses of the survivability of communication networks often include a simplifying assumption that failures of, or damages to, various components of the network are statistically indepe

Stochastic digital backpropagation (SDBP) is an extension of digital backpropagation (DBP) and is based on the maximum a posteriori principle.

This paper combines notions of univariate stochastic dominance with nontransitive and nonlinear generalizations of expected utility.

The paper gives models and analytic techniques for studying access regulations in ATM-based Broadband-ISDN.

In this paper, we use a stochastic geometric approach in order to study the impact on energy consumption when base stations are switched OFF independently of each other.

5G is envisioned to support scalable networks and improved user experience with virtually zero latency and ultra broadband service.

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