Geometric Programming (GP) is a class of nonlinear optimization withmany useful theoretical and computational properties. Over the last fewyears, GP has been used to solve a variety of problems in the analysisand design of communication systems in several ‘layers’ in the commu-nication network architecture, including information theory problems,signal processing algorithms, ...

Recently, deep learned enabled end-to-end communication systems have been developed to merge all physical layer blocks in the traditional systems, which make joint transceiver optimization possible. Powered by learning, natural language processing has achieved great success analyzing and understanding a large amount of texts. Inspired research results both areas, we aim provide new view on from...