فهرست مطالب mohammadali abedi

This article, with the aim of enumerating and formulating political strategies and considering the essential role of Syria in strengthening the resistance front, seeks to answer the basic question, what are the political strategies of the Islamic Republic of Iran to deal with Takfiri groups in Syria? In this regard, the type of research in this article is "developmental-applied" and the case-field method has been used. The sample size of the statistical population for qualitative data was determined by the purposeful homogeneous, heterogeneous and snowball methods until saturation, and considering the specialization of the research subject and the limited availability of experts to meet the scientific needs of the research, fifty people were selected. The full form has been determined. To collect information, interview method and researcher-made questionnaires were used, and to check the validity of the questionnaire, the opinions of experts in the field of study were used, and Cronbach's alpha was used to check the reliability of the questionnaire. After obtaining the opinions of the statistical community, data analysis has been done using descriptive and inferential statistical techniques and methods. Finally, with regard to the four categories of strategies counted in the SWOT matrix (WT, WO, ST, SO) and the compilation of propositions for the basis of the elements of strategy formulation, we reached three strategies as the main political strategies of the Islamic Republic of Iran in Syria.

To overcome the problem of channel estimation in massive multiple-input multiple-output (M-MIMO) systems, in this paper we propose a downlink link channel estimation scheme in frequency-division duplex (FDD) based on structured compressive sensing to reduce the pilot required by which Intrinsic spatial sparsity of M-MIMO delay channels are amplified. For this purpose, first, after discussing the different methods of channel estimation and examining the existing challenges, we define our roadmap and propose our algorithm, in which we estimate the channel based on the greedy orthogonal matching pursuit (OMP) algorithm. In this algorithm, spatial correlation between the channel impulse response of different transmitter antennas is used for accurate channel estimation. This algorithm obtains the channel sparsity in an adaptive way, which negates the ideal assumption of the previous works that the channel sparsity is in hand. In this case, this algorithm estimates the channel with good accuracy in cases when the exact amount of channel sparsity is not known. Finally, we present simulations that demonstrate the ability of this method to reduce the required pilot. The simulations show that the proposed channel estimation reliably obtains the channel sparsity level and the support set compared to similar methods.