{"title":"中继辅助认知无线电网络中最小干扰的最优功率分配","authors":"S. Maity, Chinmoy Maji","doi":"10.1109/IC3I.2014.7019823","DOIUrl":null,"url":null,"abstract":"This paper focuses on minimization of interference to primary user (PU) through an optimal strategy of power allocation algorithm for source and relay nodes in multihop cognitive radio network (CRN) under the constraints of outage probability (successful delivery) and data rate over source-destination link. This objective is also studied in the framework of enhanced lifetime of the CRN. Extensive simulations are done for both energy aware (EA) and non-energy aware (NEA) power allocation schemes. Simulation results show that NEA based power allocation offers better capacity than EA scheme at the cost of slightly increased interference to PU. Simulation results also show a three dimensional (3D) relative trade-off performance among the data transmission capacity, network lifetime and total transmission power.","PeriodicalId":430848,"journal":{"name":"2014 International Conference on Contemporary Computing and Informatics (IC3I)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On optimal power allocation for minimizing interferene in relay assisted cognitive radio networks\",\"authors\":\"S. Maity, Chinmoy Maji\",\"doi\":\"10.1109/IC3I.2014.7019823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on minimization of interference to primary user (PU) through an optimal strategy of power allocation algorithm for source and relay nodes in multihop cognitive radio network (CRN) under the constraints of outage probability (successful delivery) and data rate over source-destination link. This objective is also studied in the framework of enhanced lifetime of the CRN. Extensive simulations are done for both energy aware (EA) and non-energy aware (NEA) power allocation schemes. Simulation results show that NEA based power allocation offers better capacity than EA scheme at the cost of slightly increased interference to PU. Simulation results also show a three dimensional (3D) relative trade-off performance among the data transmission capacity, network lifetime and total transmission power.\",\"PeriodicalId\":430848,\"journal\":{\"name\":\"2014 International Conference on Contemporary Computing and Informatics (IC3I)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Contemporary Computing and Informatics (IC3I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3I.2014.7019823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Contemporary Computing and Informatics (IC3I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3I.2014.7019823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On optimal power allocation for minimizing interferene in relay assisted cognitive radio networks
This paper focuses on minimization of interference to primary user (PU) through an optimal strategy of power allocation algorithm for source and relay nodes in multihop cognitive radio network (CRN) under the constraints of outage probability (successful delivery) and data rate over source-destination link. This objective is also studied in the framework of enhanced lifetime of the CRN. Extensive simulations are done for both energy aware (EA) and non-energy aware (NEA) power allocation schemes. Simulation results show that NEA based power allocation offers better capacity than EA scheme at the cost of slightly increased interference to PU. Simulation results also show a three dimensional (3D) relative trade-off performance among the data transmission capacity, network lifetime and total transmission power.