with energy harvesting, the authors in [@gelenbe2016energy] and the ones in [@kadioglu2018product] invoked a branch of queuing theory called G-networks and queueing networks with product-form solution, respectively, in order to compute relevant performance metrics of such networks operating with intermittent energy. Another research direction in energy harvesting wireless communication headed the simultaneous wireless information and power transfer. We refer interested readers to [@tran2018resource; @8629017; @hu2018swipt; @8620264]. Finally, we refer to studies where energy harvesting is investigated in multiple-input multiple-output systems [@7790901; @le2018joint; @8629017; @Le2019].

Contributions
-------------

In EH communications, storage modeling is one of the crucial design benchmarks that we have to treat diligently. Especially in communication systems whose operations depend solely on the harvested energy, understanding the storage dynamics becomes fundamental from a design viewpoint. While a tenable energy storage is of paramount importance for us to avoid energy outages, preventing energy overflows due to the limited battery size is also necessary in order to fully utilize the harvested energy. Accordingly, we need a simple, yet comprehensive analytical model that can encapsulate the characteristics of a generic EH wireless communication system. In this paper, we introduce an analytical framework that system designers can use in order to understand the 