Comparison of encapsulant curing with convention and microwave systems

Comparison of the performance of a conventional convection oven system with a dual-section microwave system for curing thermosetting polymer encapsulant materials has been performed numerically. A numerical model capable of analysing both the convection and microwave cure processes has been developed and is breifly outliines. The model is used to analyse the curing of a commercially available encapsulant material using both systems. Results obtained from numerical solutions are presented, confirming that the VFM system enables the cure process to be carried out far more rapidly than with the convection oven system. This capability stems from the fundamental heating processes involved, namely that microwave processing enables the heating rate to be varied independently of the material temperature. Variations in cure times, curing rates, maximum temperatures and residual stresses between the processes are fully discussed.

Intrinsic measure of diversity gains in generalised distributed antenna systems with cooperative users

The diversity gains achievable in the generalised distributed antenna system with cooperative users (GDAS-CU) are considered. A GDAS-CU is comprised of M largely separated access points (APs) at one side of the link, and N geographically closed user terminals (UTs) at the other side. The UTs are collaborating together to enhance the system performance, where an idealised message sharing among the UTs is assumed. First, geometry-based network models are proposed to describe the topology of a GDAS-CU. The mean cross-correlation coefficients of signals received from non-collocated APs and UTs are calculated based on the network topology and the correlation models derived from the empirical data. The analysis is also extendable to more general scenarios where the APs are placed in a clustered form due to the constraints of street layout or building structure. Subsequently, a generalised signal attenuation model derived from several stochastic ray-tracing-based pathloss models is applied to describe the power-decaying pattern in urban built-up areas, where the GDAS-CU may be deployed. Armed with the cross-correlation and pathloss model preliminaries, an intrinsic measure of cooperative diversity obtainable from a GDAS-CU is then derived, which is the number of independent fading channels that can be averaged over to detect symbols. The proposed analytical framework would provide critical insight into the degree of possible performance improvement when combining multiple copies of the received signal in such systems.