{"title":"Novel Testbed implementation for resource allocation in cognitive radio for green communication","authors":"P. Varade, Y. Ravinder","doi":"10.1109/ICAECCT.2016.7942582","DOIUrl":null,"url":null,"abstract":"In this paper, the Testbed implementation of cognitive radio for green communication using Universal Software Radio peripheral (USRP) is investigated. The main objective of this Testbed is to create a realistic and accurate platform to implement and validate innovative and novel schemes for spectrum sensing and resource allocations for cognitive radio networks to achieve Green communication. For spectrum sensing energy detection method is used. Resource allocation to maximize energy efficiency is carried out using single user and multiuser system where subcarrier and power allocation is done sequentially to reduce complexity of the system. Testbed consists of two host computers connected to two USRP (2922) devices operating in the range 400MHz to 4.4GHz. Experimental results confirm that for single user system maximum energy efficiency achieved is 267 bits/Joule, In a multiuser system, maximum energy efficiency achieved is 145 bits/Joule.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"127 1","pages":"198-203"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECCT.2016.7942582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, the Testbed implementation of cognitive radio for green communication using Universal Software Radio peripheral (USRP) is investigated. The main objective of this Testbed is to create a realistic and accurate platform to implement and validate innovative and novel schemes for spectrum sensing and resource allocations for cognitive radio networks to achieve Green communication. For spectrum sensing energy detection method is used. Resource allocation to maximize energy efficiency is carried out using single user and multiuser system where subcarrier and power allocation is done sequentially to reduce complexity of the system. Testbed consists of two host computers connected to two USRP (2922) devices operating in the range 400MHz to 4.4GHz. Experimental results confirm that for single user system maximum energy efficiency achieved is 267 bits/Joule, In a multiuser system, maximum energy efficiency achieved is 145 bits/Joule.
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