Salman Durrani — accepted AI-conference papers

2022

Deep Learning Based Passive Beamforming for IRS-Assisted Monostatic Backscatter Systems

Sahar Idrees, Xiaolun Jia, Saud Khan, Salman Durrani, Xiangyun Zhou

ICASSP 2022accepted

Intelligent reflecting surfaces (IRS) can improve the performance of backscatter communication systems by employing reconfigurable phase shifts (or passive beamforming) to favorably configure the wireless propagation medium. However, the design of optimal IRS phase shifts requires channel state info…

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2017

Improving the spatial dimensionality of Gauss-Legendre and equiangular sampling schemes on the sphere

Zubair Khalid, Rodney A. Kennedy, Salman Durrani

ICASSP 2017accepted

For the fast and exact computation of spherical harmonic transform (SHT) of a band-limited signal defined on the sphere from its samples, the Gauss-Legendre (GL) and equiangular sampling schemes on the sphere require asymptotically least number of samples. In comparison to the equiangular scheme, th…

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