The minimum mean end-to-end delay is given by (45).
The first issue is related to the problem of choosing the optimal delay in linear minimum mean squared error (LMMSE) equalization, which is known to be nontrivial since there is no known expression for the optimal delay [14].
To show the queue delay property precisely, Table 4 presents the queue delay statistics in terms of maximum, minimum, mean, variance, and standard deviation of the flow among three algorithms.
Table 3 Queue delay statistics for the flows Maximum Minimum Mean CBR1 0.147 0.008 0.1 CBR2 0.232 0.005 0.17 CBR3 0.394 0.01 0.26 Figure 10 Instantaneous throughputs of three flows in two-state channel model.
This way, the resulting mean delay of optimizing with this learnt function is an excellent approximation of the real minimum delay traffic distribution.
A Minimum Mean Squared Semiparametric Combining Estimator.
The DC-CMST problem consists of finding a set of minimum cost spanning trees to link end-nodes to a source node which satisfy the traffic requirements at end-nodes and the required mean delay of a network.
Then, based on the minimum mean square error (MMSE) principle, a new linear optimal filter is designed such that, for the finite-step autocorrelated process noises, random one-step sensor delay and missing measurements, the estimation error is minimized.
The minimum cycle mean of the graph is the minimum mean weight of a cycle.
minimum mean square estimate.
