Note that the number of transmit and receive antennas of the various hops is a discrete rv; as a consequence, the source-destination capacity is a discrete rv, too.
As a consequence, interference does not play a major role on the system performance and the behavior of the source-destination capacity mainly depends on the term 1/R (see (6)).
Under such assumption, the source-destination ergodic capacity can be considered as one of the main performance metrics [31].
By considering that each VAA uses one out of the R available resources [4], the source-destination ergodic capacity can be written as C ̄ S,D = min 1 R C ̄ n T 0 , n T I , n R , P ℓ = 1,.., Z (6).
Since the number of cooperating nodes is a random variable (rv), there is a nonzero probability that the source-destination mean capacity, C ̄ S,D, is lower than a given value, C0, where the threshold C0 depends on the specific application considered.
For instance, demand conditions prevailing at destination or supply capacity capability characterizing source countries are controlled for.
The inter-source and source-destination channel capacities for nodes i and j are functions of the corresponding channel coefficients, and therefore, they are random variables [2].
For node i, the source-destination channel capacities Ci,D, as well as the corresponding outage events for the four possible cases (a) to (d) are provided in (8) [9].
Many are holding off on committing to holding future events in a particular city until they are convinced that a destination's air capacity will not fall any further.
monetary cost between origin o and destination d. capacity of public transport service to be attractive between origin o and destination d (dummy variable).
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