The paper presents a framework that implements our original algorithm of automatic mapping a MySQL relational database to a MongoDB NoSQL database. The algorithm uses the metadata stored in the MySQL system tables. It takes into consideration the concepts from Entity-Relationship (ER) model: entity type represented by a relation in the Relational Model (RM), 1:1 and 1:M relationship type represented with Foreign Keys (FK) in the RM and N:M relationship type represented in RM with a join table that contains the Primary Keys (PK) from the original tables, each representing a FK and two 1:M relationships between the original tables and the join table. The initial results of our algorithm that was tested on small size databases (10-15 tables with many relationships and 100 records/ table) are presented in this paper.

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In this article we derive that six-port receivers require analog rectified wave suppression in order to be applicable within mobile communications. The interrelationship of circuit matching, dynamic range of the ADCs and the so-called RF-self-mixing product are deduced analytically. We present a receiver architecture with immanent RF-self-mixing product suppression. The results enable the prediction of the applicability of a sixport with a certain circuit technology for a defined standard.