Improved control over the shell thickness can be obtained through modulation of other synthesis parameters, such as pH and stirring rate.
Other ways are link adaptation techniques, where transmission parameters such as modulation and coding are dynamically adapted to the varying channel condition[3].
Changes relevant for this research primarily concern different modulation types and corresponding timing parameters (such as bitrate, slotTime σ and Inter-Frame Spacings) and MAC parameters such as contention window and enhanced distributed channel access (EDCA) functionality.
This work assumed that the modulation of prosody-related acoustic parameters, such as increase of the local energy, extension of the duration, and exaggeration of pitch movements, were all asynchronous and could be modeled by CHMMs with multiple data streams.
The major role of cognitive radio is to identify spectrum holes across multiple dimensions such as time, frequency, and space and accordingly adjust its transmission parameters such as modulation and coding, frequency and time slot allocation, power control, and antenna parameters.
This is especially the case from inter-band CA, since the radio channel characteristics, such as propagation, path loss and building penetration loss, may vary according to the operating radio frequency bands, i.e. selecting different transmission parameters, such as modulation scheme, code rate and transmit power per CC, it is expected to be useful to further improve user QoS.
Specifically, the proposed analysis aims to evaluate the impact of different sensor radio parameters, such as modulation, encoding, transmission power, packet size, as well as the channel propagation characteristics of different smart grid propagation environments on the performance of the deployed sensor network in smart grid.
The value of this enhancement depends on the operating parameters, such as the modulation time and the non-modulated (1D column) and corresponding modulated (2D column) peak widths.
Depending on various parameters, such as RAT, modulation and coding, the allocation of an RRU can provide different data rates to mobile terminals.
In addition, the symbol erasure probability is a function of PHY layer parameters such as a modulation degree and channel code rate, which are determined by wireless channel quality.
