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The emergence of 5G technologies opens opportunities to supportmission-critical activities with high-speed Internet coverage. This paperdefines a joint job-emitting vehicle routing problem with time windows tocoordinate the operations of mission-oriented vehicles ("mission vehicles") andmobile emitters ("emitting vehicles"). This problem exhibits a joint vehiclerouting structure, with coupling constraints to ensure that each job issupported by appropriate network coverage. We solve it via an exact and finitedouble column generation algorithm: pricing problems generate vehicle pathsdynamically, and a master problem coordinates the operations of missionvehicles and emitting vehicles to ensure appropriate network coverage for eachjob. We propose several acceleration strategies to strengthen the algorithm'scomputational performance. Computational results show the scalability of theproposed methodology. Specifically, the methodology cuts runtimes by over 95%in small-scale instances as compared to an explicit formulation, and scales tolarge-scale instances involving over 50 jobs. From a practical standpoint,results highlight the benefits of dynamically coordinating mission vehicles andemitting vehicles, thus suggesting opportunities to support emerging 5Gtechnologies with dedicated routing algorithms.

Coordinating mobile network coverage and vehicle routing: a double column generation approach