Bacar Mané | Universidade De Direito De Coimbra (original) (raw)
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Papers by Bacar Mané
Anais do(a) Anais do I Web Encontro Nacional de Engenharia Química, 2021
Anais do(a) Anais do I Web Encontro Nacional de Engenharia Química, 2021
International Journal for Research in Applied Science and Engineering Technology, 2018
Cognition in radio networks has led to architectural changes of wireless sensor networks. Softwar... more Cognition in radio networks has led to architectural changes of wireless sensor networks. Software layer along with digital radio has made cognitive radio a reality. Primary Users working in licensed band face interference by opportunistic Secondary Users in CR-WSNs. The cognitive engine of a cognitive radio (CR) is assigned with some objective function, be it to maximize data rate, minimize interference, or some other optimization goal. The CR has a set of inputs: coding rate, channel access protocol, transmission power, center frequency, encryption algorithm, type of modulation, frame size etc. By changing these inputs, the cognitive engine tries to achieve some output of its objective function. The spectrum is a resource that all nodes in the cognitive radio network fight over. Malicious nodes make use of this to jam users that are trying to share the spectrum. This paper focuses on learning methods that help secondary users minimize the effect of jamming.
Anais do(a) Anais do I Web Encontro Nacional de Engenharia Química, 2021
Anais do(a) Anais do I Web Encontro Nacional de Engenharia Química, 2021
International Journal for Research in Applied Science and Engineering Technology, 2018
Cognition in radio networks has led to architectural changes of wireless sensor networks. Softwar... more Cognition in radio networks has led to architectural changes of wireless sensor networks. Software layer along with digital radio has made cognitive radio a reality. Primary Users working in licensed band face interference by opportunistic Secondary Users in CR-WSNs. The cognitive engine of a cognitive radio (CR) is assigned with some objective function, be it to maximize data rate, minimize interference, or some other optimization goal. The CR has a set of inputs: coding rate, channel access protocol, transmission power, center frequency, encryption algorithm, type of modulation, frame size etc. By changing these inputs, the cognitive engine tries to achieve some output of its objective function. The spectrum is a resource that all nodes in the cognitive radio network fight over. Malicious nodes make use of this to jam users that are trying to share the spectrum. This paper focuses on learning methods that help secondary users minimize the effect of jamming.