{"title":"认知无线网络SISO和MIMO环境下的协同频谱感知","authors":"K. Bani, V. Kulkarni","doi":"10.2174/2210327912666220325155817","DOIUrl":null,"url":null,"abstract":"\n\nIncreasing demand for wireless devices leads to utilizing spectrum resources efficiently. While available spectrum resources are very limited , in study found that all licensed users are not utilizing their spectrum all the time.\n\n\n\nCognitive Radio (CR) is used to detect free channels from available spectrum resources and access it dynamically without interference to the licensed users. There are various spectrum sensing (SS) techniques available which can be used to sense the spectrum of licensed users.\n\n\n\nSpectrum sensing technique, Energy Detector (ED) is analysed under Rayleigh fading channel here. Further, Single Input Single Output (SISO) and Multiple Input Multiple Output (MIMO) channel models developed under consumer environment. ED technique is further analysed with cooperative spectrum sensing (CSS) environment to enhance the single CR user detection problems.\n\n\n\nFor ED, Probability of Detection (PD) 0.9 and Probability of False Alarm (PFA) 0.1 are achieved under worst SNR conditions like -20dB which is the requirement for standard IEEE 802.22 Wireless Regional Area Network (WRAN).\n\n\n\nVarious receiver operating characteristics are obtained through practical simulations and theoretical calculations for each SISO and MIMO channel models with and without CSS scenario to achieve the target PD & PFA .\n","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cooperative Spectrum Sensing under SISO and MIMO Environment for Cognitive Radio Networks\",\"authors\":\"K. Bani, V. Kulkarni\",\"doi\":\"10.2174/2210327912666220325155817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nIncreasing demand for wireless devices leads to utilizing spectrum resources efficiently. While available spectrum resources are very limited , in study found that all licensed users are not utilizing their spectrum all the time.\\n\\n\\n\\nCognitive Radio (CR) is used to detect free channels from available spectrum resources and access it dynamically without interference to the licensed users. There are various spectrum sensing (SS) techniques available which can be used to sense the spectrum of licensed users.\\n\\n\\n\\nSpectrum sensing technique, Energy Detector (ED) is analysed under Rayleigh fading channel here. Further, Single Input Single Output (SISO) and Multiple Input Multiple Output (MIMO) channel models developed under consumer environment. ED technique is further analysed with cooperative spectrum sensing (CSS) environment to enhance the single CR user detection problems.\\n\\n\\n\\nFor ED, Probability of Detection (PD) 0.9 and Probability of False Alarm (PFA) 0.1 are achieved under worst SNR conditions like -20dB which is the requirement for standard IEEE 802.22 Wireless Regional Area Network (WRAN).\\n\\n\\n\\nVarious receiver operating characteristics are obtained through practical simulations and theoretical calculations for each SISO and MIMO channel models with and without CSS scenario to achieve the target PD & PFA .\\n\",\"PeriodicalId\":37686,\"journal\":{\"name\":\"International Journal of Sensors, Wireless Communications and Control\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sensors, Wireless Communications and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/2210327912666220325155817\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sensors, Wireless Communications and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2210327912666220325155817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
Cooperative Spectrum Sensing under SISO and MIMO Environment for Cognitive Radio Networks
Increasing demand for wireless devices leads to utilizing spectrum resources efficiently. While available spectrum resources are very limited , in study found that all licensed users are not utilizing their spectrum all the time.
Cognitive Radio (CR) is used to detect free channels from available spectrum resources and access it dynamically without interference to the licensed users. There are various spectrum sensing (SS) techniques available which can be used to sense the spectrum of licensed users.
Spectrum sensing technique, Energy Detector (ED) is analysed under Rayleigh fading channel here. Further, Single Input Single Output (SISO) and Multiple Input Multiple Output (MIMO) channel models developed under consumer environment. ED technique is further analysed with cooperative spectrum sensing (CSS) environment to enhance the single CR user detection problems.
For ED, Probability of Detection (PD) 0.9 and Probability of False Alarm (PFA) 0.1 are achieved under worst SNR conditions like -20dB which is the requirement for standard IEEE 802.22 Wireless Regional Area Network (WRAN).
Various receiver operating characteristics are obtained through practical simulations and theoretical calculations for each SISO and MIMO channel models with and without CSS scenario to achieve the target PD & PFA .
期刊介绍:
International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.