most citedEstimating Sparsity Level for Enabling Compressive Sensing of Wireless Channels and Spectra in 5G and Beyond

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

eess.SP2020★ 3 cited

Estimating Sparsity Level for Enabling Compressive Sensing of Wireless Channels and Spectra in 5G and Beyond

Mahmoud Nazzal, Mehmet Ali Aygul, Huseyin Arslan

Applying compressive sensing (CS) allows for sub-Nyquist sampling in several application areas in 5G and beyond. This reduces the associated training, feedback, and computation ove…