{"title":"OFDMA网络的联合比例公平接纳控制与叠加编码","authors":"Y. Abbes, S. Najeh, Hichem Besbes","doi":"10.1109/ICTEL.2013.6632090","DOIUrl":null,"url":null,"abstract":"In this paper, we aim to design an OFDMA frame-based resource allocation scheme allowing the power consumption minimization, the throughput enhancement and the queue's stability. We have proposed a novel proportional fairness admission control strategy in order to guarantee the desired QoS for each user. To increase the number of admitted users, we investigate a joint superposition coding and admission control process permitting to further exploit the multiuser diversity. Furthermore, we have suggested a power and bandwidth allocation scheme permitting to minimize power consumption while ensuring buffer's stability and satisfying the QoS requirements of users in a heavy load context. Numerical studies are conducted to evaluate the performance of the proposed algorithms in terms of served user and power consumption.","PeriodicalId":430600,"journal":{"name":"ICT 2013","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Joint proportional fairness admission control and superposition coding for OFDMA networks\",\"authors\":\"Y. Abbes, S. Najeh, Hichem Besbes\",\"doi\":\"10.1109/ICTEL.2013.6632090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we aim to design an OFDMA frame-based resource allocation scheme allowing the power consumption minimization, the throughput enhancement and the queue's stability. We have proposed a novel proportional fairness admission control strategy in order to guarantee the desired QoS for each user. To increase the number of admitted users, we investigate a joint superposition coding and admission control process permitting to further exploit the multiuser diversity. Furthermore, we have suggested a power and bandwidth allocation scheme permitting to minimize power consumption while ensuring buffer's stability and satisfying the QoS requirements of users in a heavy load context. Numerical studies are conducted to evaluate the performance of the proposed algorithms in terms of served user and power consumption.\",\"PeriodicalId\":430600,\"journal\":{\"name\":\"ICT 2013\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICT 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTEL.2013.6632090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICT 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTEL.2013.6632090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint proportional fairness admission control and superposition coding for OFDMA networks
In this paper, we aim to design an OFDMA frame-based resource allocation scheme allowing the power consumption minimization, the throughput enhancement and the queue's stability. We have proposed a novel proportional fairness admission control strategy in order to guarantee the desired QoS for each user. To increase the number of admitted users, we investigate a joint superposition coding and admission control process permitting to further exploit the multiuser diversity. Furthermore, we have suggested a power and bandwidth allocation scheme permitting to minimize power consumption while ensuring buffer's stability and satisfying the QoS requirements of users in a heavy load context. Numerical studies are conducted to evaluate the performance of the proposed algorithms in terms of served user and power consumption.