Ravi Shankar, V. Raman, Kantilal Rane, Sarojini B. K., Rahul Neware
{"title":"An Investigation of the MIMO Space Time Block Code Based Selective Decode and Forward Relaying Network over n-u Fading Channel Conditions","authors":"Ravi Shankar, V. Raman, Kantilal Rane, Sarojini B. K., Rahul Neware","doi":"10.26636/jtit.2022.150421","DOIUrl":null,"url":null,"abstract":"|In this paper, we examine the end-to-end average pairwise error probability (PEP) and output probability (OP) performance of the maximum ratio combining (MRC) based selective decode and forward (S-DF) system over an hhh { mmm scat-tering environment considering additive white Gaussian noise (AWGN). The probability distribution function (PDF) and cu-mulative distribution function (CDF) expressions have been derived for the received signal-to-noise (SNR) ratio and the moment generating function (MGF) technique is used to derive the novel closed-form (CF) average PEP and OP expressions. The analytical results have been further simpli(cid:12)ed and are presented in terms of the Lauricella function for coherent complex modulation schemes. The asymptotic PEP expressions are also derived in terms of the Lauricella function, and a convex optimization (CO) framework has been developed for obtaining optimal power allocation (OPA) factors. Through simulations, it is also proven that, depending on the number of multi-path clusters and the modulation scheme used, the optimized power allocation system was essentially inde-pendent of the power relation scattered waves from the source node (SN) to the destination node (DN). The graphs show that asymptotic and accurate formulations are closely matched for moderate and high SNR regimes. PEP performance signi(cid:12)-cantly improves with an increase in the value of hhh for a (cid:12)xed value of mmm . The analytical and simulation curves are in close agreement for medium-to-high SNR values.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Telecommunictions and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26636/jtit.2022.150421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
|In this paper, we examine the end-to-end average pairwise error probability (PEP) and output probability (OP) performance of the maximum ratio combining (MRC) based selective decode and forward (S-DF) system over an hhh { mmm scat-tering environment considering additive white Gaussian noise (AWGN). The probability distribution function (PDF) and cu-mulative distribution function (CDF) expressions have been derived for the received signal-to-noise (SNR) ratio and the moment generating function (MGF) technique is used to derive the novel closed-form (CF) average PEP and OP expressions. The analytical results have been further simpli(cid:12)ed and are presented in terms of the Lauricella function for coherent complex modulation schemes. The asymptotic PEP expressions are also derived in terms of the Lauricella function, and a convex optimization (CO) framework has been developed for obtaining optimal power allocation (OPA) factors. Through simulations, it is also proven that, depending on the number of multi-path clusters and the modulation scheme used, the optimized power allocation system was essentially inde-pendent of the power relation scattered waves from the source node (SN) to the destination node (DN). The graphs show that asymptotic and accurate formulations are closely matched for moderate and high SNR regimes. PEP performance signi(cid:12)-cantly improves with an increase in the value of hhh for a (cid:12)xed value of mmm . The analytical and simulation curves are in close agreement for medium-to-high SNR values.