Task offloading in edge computing becomes significantly more challenging when applications are modeled as Directed Acyclic Graphs (DAGs), where task dependen...

To meet the increasing demand for low-latency processing in mobile and IoT devices, edge computing offloads user application tasks to nearby cloudlets (edge ...

We investigate a state estimation problem for a linear time-invariant Gaussian system, based on a measured scalar privacy-sensitive signal. This is formulate...

The almost supermartingale convergence theorem of Robbins and Siegmund (1971) is a fundamental tool for establishing the convergence of various stochastic it...

Optical transport networks (OTNs) carry Ethernet traffic over lightpaths that can be provisioned using elastic optical networks (EONs) with flexible spectrum...

This paper investigates mean field games and control on sparse networks. In the case of large expander graphs, the limit topologies are analyzed using the gr...

The design of tactical wireless networks reflects a complex interplay among structural constraints, technological choices, and underlying modeling assumption...

Tactical wireless networks play a vital role in ensuring reliable connectivity in scenarios where conventional telecommunications infrastructure is unavailab...

Dynamic games are considered with large subpopulations distributed over large sparse graphs, where each agent has mean field coupling with all agents withi...

The Crew Pairing Problem (CPP) involves constructing feasible pairings (sequences of flights, connections, and rest periods) for airline crew while minimizin...

Origin--destination (OD) matrices are essential for forecasting and capacity planning in transportation and communication networks, yet they are not directl...

Large-scale distributed wireless networks offer infrastructure-free and cost-effective connectivity. Recent theoretical work has shown that scalability crit...

Distributed wireless networks provide scalable and decentralized connectivity for applications ranging from IoT and vehicular communication to emergency resp...

Bus scheduling problem is a core optimization problem for public transit agencies. Given a set of timetabled trips to cover during a day and a homogeneous bu...

Ridesharing could offer a solution to urban mobility challenges by delivering affordability and convenience while reducing congestion and environmental impac...

Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

This paper presents a perturbation analysis for linear quadratic Gaussian graphon mean field games (LQG-GMFGs) with Q-noise. The perturbation response functi...

Large-scale distributed wireless networks provide infrastructure-free and cost-effective connectivity, supporting applications from disaster recovery to glob...

A shift toward shopping at (autonomous) wheeled vending stores is redefining urban retail. Compared with traditional brick-and-mortar stores, such mobile sto...

This paper considers the problem of designing urban mobility hubs by modeling them as service-integrated hub-line location problems. We integrate traditional...