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Wireless Innovation Forum President Mark Gibson to Speak at Americas Spectrum Management Conference

Wireless Innovation Forum President Mark Gibson to Speak at Americas Spectrum Management Conference
einnews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from einnews.com Daily Mail and Mail on Sunday newspapers.

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Top Government IT Jobs For Computer Science in 2023

Computer Science Governement Jobs 2023:Computer Science Governement Jobs 2023: The government departments that require a computer science graduate are Railways, Defence, Police departments, PSUs, Banking sectors, BSNL etc.
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"Spectral-Correlation Based Spectrum Sensing Under Large Delay Spread C" by Yanru Ma, Ming Jin et al.

Correlation based detectors are very popular for spectrum sensing. In these detectors, temporal correlation is often employed to discriminate the signals of primary users from noises. However, large channel delay spread can significantly decrease the correlation of neighbouring samples of received signals, inducing severe performance degradation of temporal correlation based detectors. In this work, we show that the power spectral densities of different delayed versions of a primary signal have high correlation, despite unknown delays. Then, by exploiting the correlation of power spectral densities of received signals, we propose a spectral-correlation detector. To facilitate the practical application of the proposed detector, we also derive a theoretical expression for its decision threshold to achieve a given false alarm probability. Furthermore, in order to handle the case of channels with unknown delay profile, we employ the OR rule to combine the temporal- and spectral-correlation ....

Cognitive Radio , Delay Effects , Igenvalues And Eigenfunctions , Power Spectral Density , Signal To Noise Ratio , Pectrum Sensing ,

"On the Performance of Channel Occupancy Rate Estimation With Iterative" by Ming He, Ming Jin et al.

With the knowledge of channel occupancy rate (COR), cognitive radios can significantly improve their performance in exploring and exploiting spectrum holes. However, most existing COR estimators suffer from overestimation or underestimation even at high signal-to-noise ratios (SNRs). The iterative threshold-setting algorithm (ITA) is promising to address this issue. In this work, we revisit ITA and provide a thorough theoretical analysis of ITA. First, we prove that ITA converges to the true COR with a sufficiently large number of traffic samples. Then, we investigate its convergence when the number of traffic samples is small, and show that ITA deviates from the true COR especially at low SNRs. To address this issue, we analyze the upper bound of the number of traffic samples required to achieve a certain estimation error, and further propose an improved ITA (iITA). The proposed iITA enables us to achieve a prespecified estimation accuracy by adaptively adjusting the number of traffic ....

Channel Occupancy Rate , Cognitive Radio , Onvergence Mechanism , Terative Algorithm , Rimary User Traffic ,

Software Defined Radio Market Size, Share, Revenue, Trends And Drivers For 2023-2032

The Business Research Company’s Software Defined Radio Global Market Report 2023 – Market Size, Trends, And Global Forecast 2023-2032 ....

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