Accurate path gain models are critical for coverage prediction and RF planning in wireless communications.
Genetic Algorithms (GAs) have been shown to be a very effective optimisation tool on a wide variety of problems. However, they are not without their drawbacks.
End-to-end learning of communications systems is a fascinating novel concept that has so far only been validated by simulations for block-based transmissions.
In a tight binding superlattice, due to the weak coupling between wells, the minibands are very narrow ( 1 meV for many representative III-V multiquantum well structures such as GaAs/AlGaAs).
Deep centers in AlGaN/GaN high electron mobility transistors (HEMTs) on SiC substrate have been characterized by capacitance deep level transient spectroscopy (DLTS) and conductance deep level tran
The effects of lattice relaxation on the deep levels due to substitutional impurities in semiconductors are investigated using an extension of a previously developed formalism.
In this work we investigate AlGaN/GaN HEMTs structures grown by metalorganic chemical-vapor deposition on SiC substrates.
In this work we investigate AlGaN/GaN HEMTs structures grown by metalorganic chemical-vapor deposition on SiC substrates.
A one-dimensional analytical solution is derived for melt propagation in silicon wafers uniformly heated with lamp radiation from one side and radiatively cooled from both sides.
Network Function Virtualization (NFV) promotes the use of virtual network functions (VNFs), which can be grouped to form a service function chain (SFC).
