Mobile cloud computing (MCC) is a new technology that has been developed to overcome the restrictions of smart mobile devices (e.g. battery, processing power, storage capacity, etc.) to send a part of the program (with complex computing) to the cloud server (CS). In this paper, we study a multi-cell with multi-input and multi-output (MIMO) system in which the cell-interior users request service...

Industries are one of the main sources of pollution in the world. Besides, the levels of energy resources consumption including water, electricity, and fossil fuel are very different among industries. On the other hand, Iranian government pays a large amount of energy subsidy to manufacturing units. Because of it, the government wants to know which of manufacturing industries are efficient, pro...

The realization of sustainable development depends on the efficient use of energy resources. Energy consumption productivity and efficiency are among important indices that play a critical role in explaining the behavior of energy consumption structure of different economic sectors, which in turn, plays a key role in policy making. From among economic sectors, the agriculture sector, as an impo...

concerns related to climate change and security of energy supply is pushing various countries to make strategic energy planning decisions. in this regard, energy system modelling is an appropriate method to find out the utilization of current declining non-renewable energy resources and other possible scenarios. consequently, it is available to consider various aspects of energy system decision...

Sustainability is a key issue for companies offering products and services on the global market. The ever-increasing worldwide demand for raw materials in combination with the rising costs for materials and energy challenges companies to make their products, processes and services more sustainable. More and more customers are demanding sustainable products and services due to their increased aw...

This paper studies how to exploit the predicted information to maximize energy efficiency (EE) of a system supporting hybrid services. To obtain an EE upper bound of predictive resource allocation, we jointly optimize resource allocation for video on-demand (VoD) and real-time (RT) services to maximize EE by exploiting perfect future large-scale channel gains. We find that the EE-optimal predic...