Where permissible, conditions for properness of periodic control are derived and expressions for optimum phase differences (between input pairs), optimum amplitude ratios, and the maximum performance improvement vis-a-vis steady state operation are obtained.
Further, the optimum arrangement of bracing points to maximize the rotational capacity was derived, and the proposed optimum bracing point was successfully verified.
The capacity region of each access mechanism is derived and then the optimum resource allocation in terms of time, power, and decoding order is determined, such that effective capacity is maximized.
Expressions accounting for potential bias errors are derived and employed in determining an optimum moment exciter configuration.
Mathematical analysis is carried out, and expressions are derived for optimum AP and WU contention window sizes.
Considering two modulation schemes, continuous MQAM and discrete MQAM with restricted constellations, they obtained the effective capacity of the secondary user's link, and derived the optimum power allocation scheme that maximizes the effective capacity in each case.
The authors in [8] derived the capacity and optimum power allocation schemes for different capacity metrics, for example, ergodic, outage, and minimum-rate in Rayleigh fading channels under average and peak received-power constraints at the primary's receiver.
Chair and Varshney derived the optimum fusion rule in [7], which requires knowledge of local detection and false alarm probabilities for each SN.
Later, in [15] Chair and Varshney derived an optimum data fusion rule which combines individually performed decisions on the data sensed at every sensor.
In this article, we will describe an approach to numerically calculate the EVM for DCO-OFDM and ACO-OFDM, and derive the optimum biasing ratio for DCO-OFDM.
