{"title":"Energy Consumed Involvement for Circuit-Aware Cognitive Nodes in A Green Powered Cognitive Scheduler","authors":"Junaid Imtiaz, Talha Shakil, Arsalan Ansari","doi":"10.1109/ETECTE55893.2022.10007347","DOIUrl":null,"url":null,"abstract":"Energy efficient communication systems are of great importance for both device designers and customers. Higher energy consumption decreases the overall energy efficiency of the systems. Green powered cognitive radio (CR) attributes a promising approach in effective utilization of the radio spectrum. Green powered CR is capable of liberating the wireless network from spectral and energy constraints. This paper proposes a cooperative approach based on energy consumed by circuit-aware cognitive nodes(CN) for a green-powered cognitive scheduler (CS). Energy efficiency (EE) and throughput of the system are derived mathematically for energy consumed involvement (ECI) based cooperation. Simulation results show that the proposed approach increases EE by $+40\\%$ compared to conventional approach when reporting loss is considered.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETECTE55893.2022.10007347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Energy efficient communication systems are of great importance for both device designers and customers. Higher energy consumption decreases the overall energy efficiency of the systems. Green powered cognitive radio (CR) attributes a promising approach in effective utilization of the radio spectrum. Green powered CR is capable of liberating the wireless network from spectral and energy constraints. This paper proposes a cooperative approach based on energy consumed by circuit-aware cognitive nodes(CN) for a green-powered cognitive scheduler (CS). Energy efficiency (EE) and throughput of the system are derived mathematically for energy consumed involvement (ECI) based cooperation. Simulation results show that the proposed approach increases EE by $+40\%$ compared to conventional approach when reporting loss is considered.