In DEA to obtain an efficient representation in CCR and BCC models for each DMU only one linear plan would be solved; however, it is possible in centralized Resource Allocation (CRA) to solve all the DMUs by one linear planning. In this paper, models of centralized Resource Allocation in input-oriented and in dynamic case will be offered and by using dynamic SBM, the representation of DMUs in each time period and in general and based on CRA in input oriented case will be obtained. After that, the theorems of the offered models will be shown and at least, an applicable example will be represented.

The purpose of this study is to design a Resource Allocation model in educational organizations. In this research, the statistical society was defined in two formats. The research method is a survey and statistically of a type of development. The sampling method was used in the research in the experts section of the census type and in the educational-oriented organizations of the simple cluster type. In this research, to increase the validity of the questionnaire, a questionnaire was prepared, then articles, books and journals were designed and then questioned with a number of professors, and questions were considered. Then, a number of questionnaires were distributed among each section of the statistical society and all ambiguities were identified and resolved and the final questionnaire was distributed. Since the questionnaires are made up of a series of indicators or criteria, their reliability is unnecessary. Delphi analysis method and AHP hierarchical analysis method were used to analyze the data. In Delphi analysis, 23 factors were identified in the form of three dimensions of financial, physical, technological and human Resources. Also, the results of the AHP hierarchical analysis showed that financial costs have the highest priority among dimensions. After that, physical and technological Resources have been prioritized.

In this paper, downlink Resource Allocation for a sparse code multiple access (SCMA) based heterogeneous cellular networks (HCN) is investigated. The main aim of this paper is to obtain joint power Allocation and codebook assignment to achieve the least total system transmit power. In this regard, the proposed objective function is formulated as total transmit power subject to users minimum rate requirement, total available power in each base station (BS), and SCMA constraint. To solve the proposed problem an iterative algorithm considering successive convex approximation (SCA) is applied. Also, convergence of the iterative method is investigated. In the simulation results the effectiveness of proposed Resource Allocation method are shown.