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For rural and urban environment, the combined effect of the multiple impairments like multipath fading and shadowing result in faster reduction in the average signal strength as the distance from the single macrocell transmitter increases.

The modelling of an acoustic beamforming in a dynamic system characterized by time-variant state variables requires a reliable knowledge of the noise conditions of the environment and sensor subsystems.

Acoustic beamforming in complex dynamic systems is a non-trivial task given the time-variant nature of system variables.

The traditional macro-only network is not effective, especially when communication signal is required for users far away from the macrocell base station and located in the cell edge. The signal strength reaching these users is excessively attenuated due to fading and shadowing. The deployment of femtocells around the cell edge of this macrocell helps to reduce the effect of fading and shadowing thereby increasing the overall efficiency of the cellular network. This holds a great promise for adaptive space-based wireless sensor networks, formation-flying satellites and constellations.

Multiphysics modelling of coupled systems is indispensable for accurate, reliable and objective characterization of electroheat phenomena. This paper examines the usefulness of the Fourier series and Green’s function methods for deriving the analytical solutions of such models. An optimized Fourier-Green technique (FGT) is vital for accurate model description and analysis. A numerical solution for a EM-heat flow model was realized for an aluminium metal sample using F90 program code and F95 compiler. A homogeneous time-dependent E-field (μV/m) source, consisting of 500 time steps, was used to study the temperature distribution of the metal sample. The results satisfy the set initial and boundary conditions. Besides, the visualisations show that the temperature profile increases towards the centre, averaging 20oC within the bulk of the sample. The optimized FG function promises to revolutionise biomedical applications of EM-based heating, communications devices, RF and microwave heating and industrial processes amongst others.

The modeling of artificial and planar transmission lines for microwave communications is as critical as the premium set on the bandwidth of the line. Reflectionless networks are ideal for realizing the -3dB signal transmission margin. This paper proposes an electromagnetically (EM)-engineered measurement environment where the parameters of the frequency domain (FD) analysis of the ATL and PTL are adaptively and proactively updated for circuits characterization. This novelty promises immense enhancement in the channel characterization of TEM and dispersive transmission lines.