Wyniki wyszukiwania - BazTech

1

Optimal Voting Rule and Minimization of Total Error Rate in Cooperative Spectrum Sensing for Cognitive Radio Networks

Ghosh Samit Kumar, Trankatwar Sachin Ravikant, Bachan P.

Journal of Telecommunications and Information Technology

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2021

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nr 1

43--50

EN

In cognitive radio technology, spectrum sensing is essential for detecting spectrum holes which may be allotted to secondary users. In this paper, an optimal voting rule is used for cooperative spectrum sensing while minimizing the total error rate (TER). The proposed spectrum sensing method is more energy-efficient and may be implemented in practice. It is relied upon in an improved energy detector whose utilization depends on the presence or absence of the primary user. Expressions for false alarm and missed detection probabilities are derived in the paper as well. Overall performance is analyzed both for AWGN and Rayleigh fading channels, in the presence of additive white Gaussian noise (AWGN). The optimum voting rule is applied to the cooperative spectrum sensing process in order to identify the optimum number of sensing nodes and the detection threshold. Finally, an energy-efficient spectrum sensing algorithm is proposed, requiring a lower number of cognitive users for a given error bound.

2

Space-Time-Frequency Machine Learning for Improved 4G/5G Energy Detection

Wasilewska Małgorzata, Bogucka Hanna

International Journal of Electronics and Telecommunications

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2020

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Vol. 66, No. 1

217--223

EN

In this paper, the future Fifth Generation (5G New Radio) radio communication system has been considered, coexisting and sharing the spectrum with the incumbent Fourth Generation (4G) Long-Term Evolution (LTE) system. The 4G signal presence is detected in order to allow for opportunistic and dynamic spectrum access of 5G users. This detection is based on known sensing methods, such as energy detection, however, it uses machine learning in the domains of space, time and frequency for sensing quality improvement. Simulation results for the considered methods: k-Nearest Neighbor sand Random Forest show that these methods signiﬁcantly improves the detection probability.

3

Wiarygodne i energooszczędne metody detekcji zajętości zasobów widmowych w systemach radia kognitywnego

Cichoń K.

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2018

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nr 6

224-229, CD

PL

W referacie przedstawiono wyniki badań implementacyjnych i symulacyjnych nad technikami detekcji zajętości zasobów widmowych, charakteryzującymi się podwyższoną wiarygodnością i/lub oszczędnością energetyczną. W tym celu dokonano implementacji metod detekcji na urządzeniach i oceniono wpływ praktycznych urządzeń na wyniki detekcji. Ponadto, oszacowano zyski płynące z kooperacyjnej detekcji sygnałów także w środowisku wysokiej korelacji. Zidentyfikowano możliwe kierunki energooszczędnej kooperacyjnej detekcji sygnałów i wyznaczono zależności między kierunkami optymalizacji. Ostatecznie, zaproponowano energooszczędne techniki detekcji w szczególności oparte na wyborze i grupowaniu węzłów.

EN

In the paper the results of implementation- and simulation-based spectrum sensing methods with enhanced reliability and/or energy efficiency have been presented. To this aim, selected spectrum sensing techniques have been implemented and the impact of hardware has been assessed. Moreover, the gains which support the cooperation scheme have been assessed including correlation-based scheme. Possible directions in energy-efficient cooperative spectrum sensing have been identified and the dependencies between directions of optimization have been drawn. Finally, the energy-efficient techniques have been developed with the use of node selection and clustering.

4

Implementation of Selected Spectrum Sensing Systems for Cognitive Radio Networks using FPGA Platform

Abdullah H. N., Abed H. S.

Journal of Telecommunications and Information Technology

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2018

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nr 4

81--87

EN

The energy efficient spectrum sensing method is very important in cognitive radio (CR), since high power drain may limit its implementation in mobile applications. The spectrum sensing feature consumes more energy than other functional blocks, as it depends on continuous detection of the presence or absence of the primary user (PU). In this paper, we proposed two methods to reduce energy consumption of the spectrum sensing feature. The ﬁrst is of a single stage variety with a reduced number of sensed samples. The other uses two stages. The ﬁrst stage performs coarse sensing for many subchannels, and the best subchannel is forwarded for ﬁne sensing in the second stage. The performance of the proposed methods is evaluated in AWGN channel and compared with the existing approach. The proposed methods are simulated using Matlab and ModelSim and are then hardware implemented using the Altera Cyclone II FPGA board. Simulation results show that the proposed methods oﬀer an improvement in energy consumption with an acceptable reduction in the probability of detection. At Eb/N0 Eb/N0 Eb/N0 of 0 dB, the energy consumption is reduced by 50% and 72% in the ﬁrst and second proposed method, respectively, compared to the traditional method (100% sensing).