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A Fast DVM Algorithm for Wideband Time-Delay Multi-Beam Beamformers

https://doi.org/10.1109/TSP.2022.3231182

Perera, Sirani M.; Lingsch, Levi; Madanayake, Arjuna; Mandal, Soumyajit; Mastronardi, Nicola (January 2022, IEEE Transactions on Signal Processing)

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Multibeam Digital Array Receiver Using a 16-Point Multiplierless DFT Approximation

https://doi.org/10.1109/TAP.2018.2882629

Ariyarathna, Viduneth; Coelho, Diego F.; Pulipati, Sravan; Cintra, Renato J.; Bayer, Fabio M.; Dimitrov, V. S.; Madanayake, Arjuna (February 2019, IEEE Transactions on Antennas and Propagation)

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Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

https://doi.org/10.1109/ACCESS.2019.2921522

Rappaport, Theodore S.; Xing, Yunchou; Kanhere, Ojas; Ju, Shihao; Madanayake, Arjuna; Mandal, Soumyajit; Alkhateeb, Ahmed; Trichopoulos, Georgios C. (January 2019, IEEE Access)

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Analog Approximate-FFT 8/16-Beam Algorithms, Architectures and CMOS Circuits for 5G Beamforming MIMO Transceivers

https://doi.org/10.1109/JETCAS.2018.2832177

Ariyarathna, Viduneth; Madanayake, Arjuna; Tang, Xinyao; Coelho, Diego; Cintra, Renato J.; Belostotski, Leonid; Mandal, Soumyajit; Rappaport, Theodore S. (September 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems)
Wideband $$N$$ -Beam Arrays Using Low-Complexity Algorithms and Mixed-Signal Integrated Circuits

https://doi.org/10.1109/JSTSP.2018.2822940

Perera, Sirani M.; Ariyarathna, Viduneth; Udayanga, Nilan; Madanayake, Arjuna; Wu, Ge; Belostotski, Leonid; Wang, Yingying; Mandal, Soumyajit; Cintra, Renato J.; Rappaport, Theodore S. (May 2018, IEEE Journal of Selected Topics in Signal Processing)

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An Offset-Canceling Approximate-DFT Beamforming Architecture for Wireless Transceivers

https://doi.org/10.1109/ISCAS.2018.8351765

Zhao, Haixiang; Mandal, Soumyajit; Ariyarathna, Viduneth; Madanayake, Arjuna; Cintra, Renato J. (May 2018, IEEE International Symposium on Circuits and Systems (ISCAS))

We describe a current-mode multi-beam beamforming approach for 5G wireless applications based on a low-complexity approximate-DFT (a-DFT). Dynamic current mirrors are used to cancel errors in the current copying and scaling operations required to realize a-DFT matrices, thus resulting in an accurate and scalable architecture. The circuit design for the case of 8-point a-DFT has been validated with transistor-level simulations in the UMC 0.18 μm CMOS process.
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