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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 ...
Busy tone based coexistence algorithm for WRAN and WLAN systems in TV white space
(Inst Engineering Technology-IET, 2018)
TV White Space (TVWS) refers to frequency band reserved only for licensed terrestrial TV broadcasting and is opened to unlicensed use under regulatory conditions. While regulations protect licensed systems from interference ...
Wavelet-based cognitive SCMA system for mmWave 5G communication networks
(Inst Engineering Technology-IET, 2017)
Fifth generation (5G) communication networks can achieve high spectral efficiency using sparse code multiple access (SCMA) scheme when large number of users are trying to transmit their data simultaneously. The sparsity ...
Joint Wavelet-Based Spectrum Sensing and FBMC Modulation for Cognitive mmWave Small Cell Networks
(Inst Engineering Technology-IET, 2016)
Millimetre-wave (mmWave) 5G communications is an emerging technology to enhance the capacity of existing systems by thousand-fold improvement. Heterogeneous networks employing densely distributed small cells can optimise ...
Bayesian Compressive Sensing For Primary User Detection
(Inst Engineering Technology-IET, 2016)
In compressive sensing (CS)-based spectrum sensing literature most studies consider accurate reconstruction of the primary user signal rather than detection of the signal. Furthermore possible absence of the signal is not ...
Energy Efcient Downlink Resource Allocation in Cellular IoT Supported H-CRANs
(Institute of Electrical and Electronics Engineers Inc., 2021)
The cloud computing supported heterogeneous cloud radio access network (H-CRAN) is one of the promising solutions to support cellular IoT devices with the legacy cellular systems. However, the dense deployment of small ...