{"title":"面向上行OFDMA系统的无线资源分配算法","authors":"Juncai Shi, A. Hu","doi":"10.1109/ICCW.2008.7","DOIUrl":null,"url":null,"abstract":"This paper investigates the radio resource allocation scheme for the uplink OFDMA systems and a new uplink-based radio resource allocation (URRA) algorithm is proposed based on the maximization of system throughput and the quality of service (QoS) constraints of the users. The URRA algorithm is composed of two parts. The first part introduces a dynamically priority parameter for each user according to the uplink channel state information (UCSI), the QoS constraints and data buffer information, and then allocates resources to meet the user's QoS constraints based on the priority parameters. The second part of the URRA algorithm allocates the remaining subcarriers to the users who have the most increment of throughput. Simulation results show that the URRA algorithm not only increases the system throughput performance subject to the QoS constraints, but also significantly reduces the computational complexity compared with the existing algorithm.","PeriodicalId":360127,"journal":{"name":"ICC Workshops - 2008 IEEE International Conference on Communications Workshops","volume":"199 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Radio Resource Allocation Algorithm for the Uplink OFDMA System\",\"authors\":\"Juncai Shi, A. Hu\",\"doi\":\"10.1109/ICCW.2008.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the radio resource allocation scheme for the uplink OFDMA systems and a new uplink-based radio resource allocation (URRA) algorithm is proposed based on the maximization of system throughput and the quality of service (QoS) constraints of the users. The URRA algorithm is composed of two parts. The first part introduces a dynamically priority parameter for each user according to the uplink channel state information (UCSI), the QoS constraints and data buffer information, and then allocates resources to meet the user's QoS constraints based on the priority parameters. The second part of the URRA algorithm allocates the remaining subcarriers to the users who have the most increment of throughput. Simulation results show that the URRA algorithm not only increases the system throughput performance subject to the QoS constraints, but also significantly reduces the computational complexity compared with the existing algorithm.\",\"PeriodicalId\":360127,\"journal\":{\"name\":\"ICC Workshops - 2008 IEEE International Conference on Communications Workshops\",\"volume\":\"199 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICC Workshops - 2008 IEEE International Conference on Communications Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCW.2008.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICC Workshops - 2008 IEEE International Conference on Communications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCW.2008.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Radio Resource Allocation Algorithm for the Uplink OFDMA System
This paper investigates the radio resource allocation scheme for the uplink OFDMA systems and a new uplink-based radio resource allocation (URRA) algorithm is proposed based on the maximization of system throughput and the quality of service (QoS) constraints of the users. The URRA algorithm is composed of two parts. The first part introduces a dynamically priority parameter for each user according to the uplink channel state information (UCSI), the QoS constraints and data buffer information, and then allocates resources to meet the user's QoS constraints based on the priority parameters. The second part of the URRA algorithm allocates the remaining subcarriers to the users who have the most increment of throughput. Simulation results show that the URRA algorithm not only increases the system throughput performance subject to the QoS constraints, but also significantly reduces the computational complexity compared with the existing algorithm.