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2: Let λ be the maximum traffic that can be supported with one carrier fulfilling the maximum blocking probability constraint.
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We show that the maximum traffic load that a single RA can handle is limited.
We show that the maximum traffic load that a single resource allocator (RA) can handle is limited.
Assuming a speed limit of 25 mph, such as that of the test road, and a vehicle spacing of 12.2 meters (approximately two car lengths), the maximum traffic volume that can be obtained is 3,300 vehicles per hour.
The feasibility region provides the maximum traffic capacity that a single RA can manage.
Although the latter strategy could not change the maximum traffic rate that a pigeon can support, it improves the efficiency of a pigeon largely.
Although the latter strategy could not improve the maximum traffic rate that a pigeon can support, it improves the efficiency of the pigeon largely.
Finally, we consider stability of the different approaches since it is of significant importance to understand what is the maximum traffic load that a MAC protocol can handle.
Considering the blocking probability constraint, the maximum traffic load ρmax that the RA can manage is then the solution to B ρ max, c = p b max Φ n max ( ρ max μ ) = c.
The maximum traffic load ρmax that the RA can manage is then the solution to B ρ max, Φ n max = p b max, when t s max ≪ λ - 1. (17). Figure 7 plots the capacity of the g-mapping RA, assuming that k = 1.5 and k = 2 processors, are needed for digitally processing the signals of a single user.
It is clear that LCSR with has the best performance, that is, smallest maximum traffic load and STD load for both gird and random networks.
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