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The studied distribution network is composed of a single supplier serving a set of retailers through a set of distribution centers (DCs) to locate on the retailer's locations.
Figure 5 shows the performance metrics versus traffic load for a MIMO-OFDMA system serving a set of heterogeneous traffic flows.
They have a very large and rapidly growing business serving a set of guests who are principally value-sensitive and they're providing a great product for those guests.
In the communication graph shown in Fig. 2, PU network is illustrated as two base stations serving a set of PUs, establishing the primary links, while CR network deployed in the same area is represented by a set of CR links {A, B,…,I}.
We consider a TDD system where a set of BSs J = { 1, 2, …, J }, each equipped with M antennas, is serving a set of UEs K = { 1, 2, …, K }, each equipped with N antennas, with K>J M. As the overall number of transmitting antennas is not sufficient to serve all the UEs at the same time, UE scheduling is part of the optimization problem.
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In the MTRPD, a fleet of identical vehicles is dispatched to serve a set of customers.
This paper studied the design of a two-echelon supply chain where a set of suppliers serve a set of terminals that receive uncertain customer demands.
The capacitated vehicle routing problem (CVRP) aims to determine the minimum total cost routes for a fleet of homogeneous vehicles to serve a set of customers.
In this system, the base station (BS) simultaneously serves a set of half-duplex (HD) sensor nodes which are uniformly distributed in its coverage.
We consider the multi-trip vehicle routing problem, in which each vehicle can perform several routes during the same working shift to serve a set of customers.
The Multi-Commodity Multi-Trip Vehicle Routing Problem with Time Windows calls for the determination of a routing planning to serve a set of customers that require products belonging to incompatible commodities.
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CEO of Professional Science Editing for Scientists @ prosciediting.com