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The intersection of the two curves provides the maximum system capacity ρmax.
For one issue, to achieve maximum system capacity, the optimal transmission of covariance matrix is essential to the optimal transmitter.
This corresponds to a heavily loaded system where the input traffic is approximately 110%, in terms of bits/s/Hz, of the maximum system capacity.
Only if the system settings satisfy a certain condition, then the beamforming strategy achieves the maximum system capacity and it is optimal.
The results are helpful for designing system capacity in different type of cooling loads and show maximum system capacity in acceptable thermal comfort condition.
Usually, the rank of optimal transmission covariance matrix of achieving the maximum system capacity is not equal to 1, i.e., the beamforming strategy is not necessarily the optimum strategy.
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6) The system congestion frequency is given by SCF = sumlimits_{t in S} {F_{t} } = sumlimits_{t in S} {P_{t} } sumlimits_{k = 1}^{N} {lambda_{k} }. 7) The maximum system congestion capacity is SCC_{hbox{max} } = mathop {hbox{max} }limits_{t in S} left( {sumlimits_{i = 1}^{l} {TLCC_{it} } } right)where l is the number of congested transmission components at the t th system state.
Addition of the uncoupler FCCP increased respiration to the level of maximum electron transport system capacity.
The maximum mutual information is the system capacity.
It restricts the system capacity by the maximum system delay allowed because a number of retransmissions may be needed.
The optimum number of signature sequences can produce the maximum system throughput close the system value capacity UB.
More suggestions(15)
maximum towing capacity
maximum system performance
maximum link capacity
maximum system damping
maximum system output
maximum system entropy
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maximum adsorption capacity
maximum system power
maximum system processing
maximum system load
maximum system utility
maximum system operating
maximum system limit
maximum system utilization
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