TY - GEN
T1 - Power Efficient Multi-Carrier Baseband Processing for 5G and 6G Wireless
AU - Skrimponis, Panagiotis
AU - Hadi Mirfarshbafan, Seyed
AU - Studer, Christoph
AU - Rangan, Sundeep
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Power consumption is one of the significant challenges in millimeter wave (mmWave) systems due to the need to support wide bandwidths and large numbers of antennas. This paper explores energy efficient implementations of the baseband trans-receiver components for a multi-carrier 3GPP New Radio (NR) system. The analysis considers key components including channel selection filters, digital beamforming and FFT engines for the OFDM processing. A methodology is presented for optimizing bit widths in various components, which is critical in low power designs. Fully digital and analog beamforming architectures are also compared. Preliminary power estimates are provided using a TSMC 28 nm process for a 400 MHz system at 28 GHz similar to 5G systems today and a hypothetical 1.6 GHz system at 140 GHz for potential 6G deployment.
AB - Power consumption is one of the significant challenges in millimeter wave (mmWave) systems due to the need to support wide bandwidths and large numbers of antennas. This paper explores energy efficient implementations of the baseband trans-receiver components for a multi-carrier 3GPP New Radio (NR) system. The analysis considers key components including channel selection filters, digital beamforming and FFT engines for the OFDM processing. A methodology is presented for optimizing bit widths in various components, which is critical in low power designs. Fully digital and analog beamforming architectures are also compared. Preliminary power estimates are provided using a TSMC 28 nm process for a 400 MHz system at 28 GHz similar to 5G systems today and a hypothetical 1.6 GHz system at 140 GHz for potential 6G deployment.
UR - http://www.scopus.com/inward/record.url?scp=85107780594&partnerID=8YFLogxK
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U2 - 10.1109/IEEECONF51394.2020.9443544
DO - 10.1109/IEEECONF51394.2020.9443544
M3 - Conference contribution
AN - SCOPUS:85107780594
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 324
EP - 330
BT - Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Y2 - 1 November 2020 through 5 November 2020
ER -