A Corporate Feed Network Optimization for Performance Enhancement

摘要

Big data technology sustainability is contingent on the availability of interconnections of large-scale, ultra-high-speed, densely integrated big data heterogeneous server platforms. For highly densified servers to be attainable, semiconductor technologies upon which these servers are predicated must further be miniaturized. It is recently not uncommon to implement band gap reduction engineering of SiGe HBT in a bid to attain highly densified integrated circuit for large-scale servers. Unfortunately, the parasitic effects become significant, in particular as these integrated circuits are targeted for high frequency of operations due to the interconnection links between the chip and the transceivers. Insertion loss |S_(21)| becomes considerable, and both the signal level as well as noise figure depreciate substantially as a result. In this work, therefore, we investigate the extent of parasitic effect to wit performance degradation, and further to optimize the parasitics for performance enhancement.