  Optimal resource allocation elegantly kaizens bandwidth utilization in
present-day communications systems carrying distinctive traffic types with
specific quality of service (QoS) requirements, whose fulfillment may elevate
users' quality of Experience (QoE). This paper investigates the QoE of users
running real-life real-time and delay-tolerant applications by implementing an
Internet-connected real-world mobile network which hosts a node with a
centralized convex resource allocation optimization algorithm to calculate and
enforce an optimal bandwidth distribution. The experiments show that leveraging
the rate assignment approach escalates the real-life network traffic QoE
through a fine-grained temporal resource allocation pattern which plummets the
total bandwidth consumption and the cost of employing the services.
