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Practical Implementation of the Combinational Cooperative Detection Method
(Springer, 2015)
In conventional cooperative detection a fusion center decides on the presence or the absence of a primary user (PU) by gathering all the information from secondary users (SUs) and conveys this decision to all users. This ...
IEEE 802.15.4a Based Ultra Wideband Systems for Coexistence with Primary Users
(IEEE, 2015)
Peaceful coexistence is a major implementation issue for both cognitive radios and ultra wideband (UWB) systems. Accordingly the UWB impulse radio (UWB-IR) based Wireless Personal Area Network (WPAN) standard IEEE 802.15.4a ...
Analysis of Extended Busy Tone Performance for Coexistence between WRAN and WLAN TVWS Networks
(IEEE, 2015)
TV White Spaces indicate spectrum bands which were reserved for licensed terrestrial TV broadcasting and opened to unlicensed use under regulatory conditions. One important regulation which is common in all regulatory ...
Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction
(IEEE, 2016)
Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper we investigate basis ...
Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems
(IEEE, 2016)
In order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a ...
Energy Efficient SCMA Supported Downlink Cloud-RANs for 5G Networks
(IEEE, 2020)
Cloud-radio access networks (C-RANs) are regarded as a promising solution to provide low cost services among users through the centralized coordination of baseband units for 5G wireless networks. The coordinated multi-point ...
Bayesian compressive sensing for ultra-wideband channel estimation: algorithm and performance analysis
(Springer, 2015)
Due to the sparse structure of ultra-wideband (UWB) channels compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS the inclusion of Bayesian framework has shown potential to ...
Rapidly Varying Sparse Channel Tracking with Hybrid Kalman-OMP Algorithm
(Springer, 2019)
It is expected from future communication standards that channel estimation algorithms should be able to operate over very fast varying frequency selective channel models. Therefore in this study autoregressive (AR) modeled ...
Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
(Wiley-Blackwell, 2014)
Due to the sparse structure of ultra-wideband (UWB) multipath channels there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of ...
Detection of interdependent primary systems using wideband cognitive radios
(Elsevier GMBH Urban & Fischer Verlag, 2013)
Cognitive radios (CRs) may be sharing multiple frequency bands with primary systems if the CR is a wideband or an ultra wideband (UWB) system. In that case the CR should ensure all the coexisting primary systems in these ...