{"title":"NLPA 和不完善 CSI 对双向 3P-ANC 多中继网络 QAM 方案 ASER 性能的影响","authors":"Nagendra Kumar","doi":"10.1007/s12243-024-01042-4","DOIUrl":null,"url":null,"abstract":"<p>In this study, we examine the performance of higher-order quadrature amplitude modulation (QAM) schemes in a two-way multiple-relay network. This network employs three-phase analog network coding and an opportunistic relay selection algorithm while dealing with imperfect channel state information (CSI) and nonlinear power amplifiers (NLPA). Specifically, we derive lower-bound expressions for general-order rectangular QAM, hexagonal QAM, and cross QAM schemes. We assess performance over Nakagami-<i>m</i> fading channels with integer-valued fading parameters that are independently and non-identically distributed. Our analysis focuses on variable-gain amplify-and-forward relaying combined with maximal ratio combining receivers. To calculate closed-form average symbol error rate (ASER) expressions, we utilize a well-established approach based on cumulative distribution functions. We validate the accuracy of our derived expressions by comparing them to results obtained through Monte Carlo simulations. Furthermore, we investigate how fading parameters, the number of relay nodes, imperfect CSI, and NLPA affect the network’s performance.</p>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of NLPA and imperfect CSI on ASER performance of QAM schemes for two-way 3P-ANC multiple-relay network\",\"authors\":\"Nagendra Kumar\",\"doi\":\"10.1007/s12243-024-01042-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this study, we examine the performance of higher-order quadrature amplitude modulation (QAM) schemes in a two-way multiple-relay network. This network employs three-phase analog network coding and an opportunistic relay selection algorithm while dealing with imperfect channel state information (CSI) and nonlinear power amplifiers (NLPA). Specifically, we derive lower-bound expressions for general-order rectangular QAM, hexagonal QAM, and cross QAM schemes. We assess performance over Nakagami-<i>m</i> fading channels with integer-valued fading parameters that are independently and non-identically distributed. Our analysis focuses on variable-gain amplify-and-forward relaying combined with maximal ratio combining receivers. To calculate closed-form average symbol error rate (ASER) expressions, we utilize a well-established approach based on cumulative distribution functions. We validate the accuracy of our derived expressions by comparing them to results obtained through Monte Carlo simulations. Furthermore, we investigate how fading parameters, the number of relay nodes, imperfect CSI, and NLPA affect the network’s performance.</p>\",\"PeriodicalId\":50761,\"journal\":{\"name\":\"Annals of Telecommunications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Telecommunications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s12243-024-01042-4\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Telecommunications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12243-024-01042-4","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Impact of NLPA and imperfect CSI on ASER performance of QAM schemes for two-way 3P-ANC multiple-relay network
In this study, we examine the performance of higher-order quadrature amplitude modulation (QAM) schemes in a two-way multiple-relay network. This network employs three-phase analog network coding and an opportunistic relay selection algorithm while dealing with imperfect channel state information (CSI) and nonlinear power amplifiers (NLPA). Specifically, we derive lower-bound expressions for general-order rectangular QAM, hexagonal QAM, and cross QAM schemes. We assess performance over Nakagami-m fading channels with integer-valued fading parameters that are independently and non-identically distributed. Our analysis focuses on variable-gain amplify-and-forward relaying combined with maximal ratio combining receivers. To calculate closed-form average symbol error rate (ASER) expressions, we utilize a well-established approach based on cumulative distribution functions. We validate the accuracy of our derived expressions by comparing them to results obtained through Monte Carlo simulations. Furthermore, we investigate how fading parameters, the number of relay nodes, imperfect CSI, and NLPA affect the network’s performance.
期刊介绍:
Annals of Telecommunications is an international journal publishing original peer-reviewed papers in the field of telecommunications. It covers all the essential branches of modern telecommunications, ranging from digital communications to communication networks and the internet, to software, protocols and services, uses and economics. This large spectrum of topics accounts for the rapid convergence through telecommunications of the underlying technologies in computers, communications, content management towards the emergence of the information and knowledge society. As a consequence, the Journal provides a medium for exchanging research results and technological achievements accomplished by the European and international scientific community from academia and industry.