{"title":"A low-complexity resource allocation scheme using AMC for MIMO-OFDMA systems","authors":"W. B. Hassen, Mériem Afif, S. Tabbane","doi":"10.1109/ICT.2014.6845100","DOIUrl":null,"url":null,"abstract":"In this paper, we address the resource allocation problem in down-link transmission of MIMO-OFDMA systems. We aim at maximizing the total system capacity. The optimization problem is divided into sub-optimal ones in order to reduce the computing complexity. Firstly, a Physical Resource Block (PRB) allocation algorithm based on a recursive function is developed. Secondly, a power allocation procedure is performed. As all PRBs allocated to the same user must use the same Modulation and Coding Scheme (MCS) according to LTE specification, the power optimization sub-problem includes three steps: power allocation among PRBs (PAaPRB), power allocation among antennas (PAaA) and power allocation among users (PAaU). Simulation results show that our proposed method maximizes the total system capacity with a low-complexity in the case of loaded systems compared to well-known algorithms.","PeriodicalId":154328,"journal":{"name":"2014 21st International Conference on Telecommunications (ICT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21st International Conference on Telecommunications (ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT.2014.6845100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we address the resource allocation problem in down-link transmission of MIMO-OFDMA systems. We aim at maximizing the total system capacity. The optimization problem is divided into sub-optimal ones in order to reduce the computing complexity. Firstly, a Physical Resource Block (PRB) allocation algorithm based on a recursive function is developed. Secondly, a power allocation procedure is performed. As all PRBs allocated to the same user must use the same Modulation and Coding Scheme (MCS) according to LTE specification, the power optimization sub-problem includes three steps: power allocation among PRBs (PAaPRB), power allocation among antennas (PAaA) and power allocation among users (PAaU). Simulation results show that our proposed method maximizes the total system capacity with a low-complexity in the case of loaded systems compared to well-known algorithms.