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Toplam kayıt 16, listelenen: 1-10
Signal relation-based physical layer authentication
(Institute of Electrical and Electronics Engineers Inc., 2020)
Most physical-layer authentication techniques use channel information to prevent spoofing attacks. In such techniques, one must estimate the channel information for each authentication procedure. However, when the number ...
Dictionary learning-based beamspace channel estimation in millimeter-wave massive mimo systems with a lens antenna array
(Institute of Electrical and Electronics Engineers Inc., 2019)
Recent research considers the application of a lens antenna array in order to provide efficient beam selection in beamspace massive MIMO. Achieving the advantages of this beam selection paradigm requires efficient channel ...
Sparse coding for transform domain-based sparse OFDM channel estimation
(IEEE-Inst Electrical Electronics Engineering Inc, 2019)
In orthogonal frequency division multiplexing (OFDM) systems, frequency domain pilot-aided channel estimation is based on interpolating a down-sampled version of the channel frequency response. This is achieved by transforming ...
Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems
(Institute of Electrical and Electronics Engineers Inc., 2020)
Cognitive radio (CR)-based internet of things systems can be considered as an efficient solution for futuristic smart technologies. However, CRs are naturally vulnerable to two major security threats; primary user emulation ...
Spectrum occupancy prediction exploiting time and frequency correlations through 2D-LSTM
(Institute of Electrical and Electronics Engineers Inc., 2020)
The identification of spectrum opportunities is a pivotal requirement for efficient spectrum utilization in cognitive radio systems. Spectrum prediction offers a convenient means for revealing such opportunities based on ...
Sparse coding with enhanced atom selection for FDD massive MIMO channel estimation
(Institute of Electrical and Electronics Engineers Inc., 2021)
In sparse coding-based channel estimation, atom selection is based on jointly minimizing the sparsity and the error of the representation of the noisy measurement. However, this selection is not necessarily optimal in terms ...
Estimation and exploitation of multidimensional sparsity for MIMO-OFDM channel estimation
(Institute of Electrical and Electronics Engineers Inc., 2022)
Obtaining accurate channel state estimates at reasonable training overheads remains a big challenge for the applicability of multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM). Recently, ...
Deep RL-based spectrum occupancy prediction exploiting time and frequency correlations
(Institute of Electrical and Electronics Engineers Inc., 2022)
In cognitive radio systems, predicting spectrum occupancies is a convenient alternative way to continuous spectrum sensing. It can provide information on spectrum usage and so empty spectrum bands can be used by secondary ...
Deep learning-based optimal ris interaction exploiting previously sampled channel correlations
(IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)
The reconfigurable intelligent surface (RIS) technology has attracted interest due to its promising coverage and spectral efficiency features. However, some challenges need to be addressed to realize this technology in ...
Channel modeling for 5G and beyond
(Institution of Engineering and Technology, 2020)
The wide variety in enabling technologies, operating scenarios, environments, and use cases required for the fifth generation (5G) communication system and beyond 5G (B5G) entails the availability of descriptive channel ...