Abstract:
Analog/digital hybrid beamforming is considered as a key enabling multiple antenna technology for implementing millimeter wave (mmWave) multiple-input multiple-output (MI...Show MoreMetadata
Abstract:
Analog/digital hybrid beamforming is considered as a key enabling multiple antenna technology for implementing millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications since it can reduce the number of costly and power-hungry radio frequency (RF) chains while still providing for spatial multiplexing. In this paper, we introduce a novel hybrid beamforming architecture with dynamic antenna subarrays and hardware-efficient low-resolution phase shifters (PSs) for a wideband mmWave MIMO orthogonal frequency division multiplexing (MIMO-OFDM) system. By dynamically connecting each RF chain to a non-overlapping antenna subarray via a switch network and PSs, multiple-antenna diversity can be exploited to mitigate the performance loss due to the employment of practical low-resolution PSs. For this dynamic hybrid beamforming architecture, we jointly design the hybrid precoder and combiner to maximize the average spectral efficiency of the mmWave MIMO-OFDM system. In particular, the spectral efficiency maximization problem is first converted to a mean square error (MSE) minimization problem. Then, an efficient iterative hybrid beamformer algorithm is developed based on classical block coordination descent (BCD) methods. An analysis of the convergence and complexity of the proposed algorithm is also provided. Extensive simulation results demonstrate the superiority of the proposed hybrid beamforming algorithm with dynamic subarrays and low-resolution PSs.
Published in: IEEE Journal on Selected Areas in Communications ( Volume: 38, Issue: 9, September 2020)
Funding Agency:
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China
Hongyu Li (Graduate Student Member, IEEE) received the B.S. degree in electronics information engineering from the Dalian University of Technology, Dalian, China, in 2018, where she is currently pursuing the M.S. degree with the School of Information and Communication Engineering.
Her current research interests are focused on signal processing, mmWave communications, and massive MIMO systems.
Hongyu Li (Graduate Student Member, IEEE) received the B.S. degree in electronics information engineering from the Dalian University of Technology, Dalian, China, in 2018, where she is currently pursuing the M.S. degree with the School of Information and Communication Engineering.
Her current research interests are focused on signal processing, mmWave communications, and massive MIMO systems.View more
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China
Ming Li (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, in 2005 and 2010, respectively.
From January 2011 to August 2013, he was a Post-Doctoral Research Associate with the Signals, Communications, and Networking Research Group, Department of Electrical Engineering, SUNY-Buffalo. From August 2013 to June 2014, he w...Show More
Ming Li (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, in 2005 and 2010, respectively.
From January 2011 to August 2013, he was a Post-Doctoral Research Associate with the Signals, Communications, and Networking Research Group, Department of Electrical Engineering, SUNY-Buffalo. From August 2013 to June 2014, he w...View more
School of Computer Science and Technology, Dalian University of Technology, Dalian, China
Qian Liu (Member, IEEE) received the B.S. and M.S. degrees from the Dalian University of Technology, Dalian, China, in 2006 and 2009, respectively, and the Ph.D. degree from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, NY, USA, in 2013.
She was a Post-Doctoral Fellow with Ubiquitous Multimedia Laboratory, SUNY-Buffalo, from 2013 to 2015. She received the Alexander von Humboldt Fellowship in 2015, an...Show More
Qian Liu (Member, IEEE) received the B.S. and M.S. degrees from the Dalian University of Technology, Dalian, China, in 2006 and 2009, respectively, and the Ph.D. degree from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, NY, USA, in 2013.
She was a Post-Doctoral Fellow with Ubiquitous Multimedia Laboratory, SUNY-Buffalo, from 2013 to 2015. She received the Alexander von Humboldt Fellowship in 2015, an...View more
Center for Pervasive Communications and Computing, University of California at Irvine, Irvine, USA
A. Lee Swindlehurst (Fellow, IEEE) received the B.S. and M.S. degrees in electrical engineering from Brigham Young University (BYU) in 1985 and 1986, respectively, and the Ph.D. degree in electrical engineering from Stanford University in 1991. He was with the Department of Electrical and Computer Engineering, BYU, from 1990 to 2007, where he served as a Department Chair from 2003 to2006. From 1996 to 1997, he held a join...Show More
A. Lee Swindlehurst (Fellow, IEEE) received the B.S. and M.S. degrees in electrical engineering from Brigham Young University (BYU) in 1985 and 1986, respectively, and the Ph.D. degree in electrical engineering from Stanford University in 1991. He was with the Department of Electrical and Computer Engineering, BYU, from 1990 to 2007, where he served as a Department Chair from 2003 to2006. From 1996 to 1997, he held a join...View more
Contents School of Information and Communication Engineering, Dalian University of Technology, Dalian, China
Hongyu Li (Graduate Student Member, IEEE) received the B.S. degree in electronics information engineering from the Dalian University of Technology, Dalian, China, in 2018, where she is currently pursuing the M.S. degree with the School of Information and Communication Engineering.
Her current research interests are focused on signal processing, mmWave communications, and massive MIMO systems.
Hongyu Li (Graduate Student Member, IEEE) received the B.S. degree in electronics information engineering from the Dalian University of Technology, Dalian, China, in 2018, where she is currently pursuing the M.S. degree with the School of Information and Communication Engineering.
Her current research interests are focused on signal processing, mmWave communications, and massive MIMO systems.View more
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China
Ming Li (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, in 2005 and 2010, respectively.
From January 2011 to August 2013, he was a Post-Doctoral Research Associate with the Signals, Communications, and Networking Research Group, Department of Electrical Engineering, SUNY-Buffalo. From August 2013 to June 2014, he was with Qualcomm Technologies Inc. as a Senior Engineer. Since June 2014, he has been with the School of Information and Communication Engineering, Dalian University of Technology, Dalian, China, where he is currently an Associate Professor. His current research interests are in the general areas of communication theory and signal processing with applications to mmWave communications, secure wireless communications, cognitive radios and networks, data hiding and steganography.
Ming Li (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, in 2005 and 2010, respectively.
From January 2011 to August 2013, he was a Post-Doctoral Research Associate with the Signals, Communications, and Networking Research Group, Department of Electrical Engineering, SUNY-Buffalo. From August 2013 to June 2014, he was with Qualcomm Technologies Inc. as a Senior Engineer. Since June 2014, he has been with the School of Information and Communication Engineering, Dalian University of Technology, Dalian, China, where he is currently an Associate Professor. His current research interests are in the general areas of communication theory and signal processing with applications to mmWave communications, secure wireless communications, cognitive radios and networks, data hiding and steganography.View more
School of Computer Science and Technology, Dalian University of Technology, Dalian, China
Qian Liu (Member, IEEE) received the B.S. and M.S. degrees from the Dalian University of Technology, Dalian, China, in 2006 and 2009, respectively, and the Ph.D. degree from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, NY, USA, in 2013.
She was a Post-Doctoral Fellow with Ubiquitous Multimedia Laboratory, SUNY-Buffalo, from 2013 to 2015. She received the Alexander von Humboldt Fellowship in 2015, and was a Post-Doctoral Fellow with the Chair of Media Technology and the Chair of Communication Networks, Technical University of Munich, from 2016 to 2017. She is currently an Associate Professor with the School of Computer Science and Technology, Dalian University of Technology, China. Her current research interests include multimedia transmission over MIMO systems, IEEE 802.11 wireless networks and LTE networks, device-to-device communication, energy-aware multimedia delivery, and the tactile Internet. She received the Best Paper Runner-up Award at the 2012 IEEE International Conference on Multimedia and Expo and was in the finalist for the Best Student Paper Award at the 2011 IEEE International Symposium on Circuits and Systems.
Qian Liu (Member, IEEE) received the B.S. and M.S. degrees from the Dalian University of Technology, Dalian, China, in 2006 and 2009, respectively, and the Ph.D. degree from the State University of New York at Buffalo (SUNY-Buffalo), Buffalo, NY, USA, in 2013.
She was a Post-Doctoral Fellow with Ubiquitous Multimedia Laboratory, SUNY-Buffalo, from 2013 to 2015. She received the Alexander von Humboldt Fellowship in 2015, and was a Post-Doctoral Fellow with the Chair of Media Technology and the Chair of Communication Networks, Technical University of Munich, from 2016 to 2017. She is currently an Associate Professor with the School of Computer Science and Technology, Dalian University of Technology, China. Her current research interests include multimedia transmission over MIMO systems, IEEE 802.11 wireless networks and LTE networks, device-to-device communication, energy-aware multimedia delivery, and the tactile Internet. She received the Best Paper Runner-up Award at the 2012 IEEE International Conference on Multimedia and Expo and was in the finalist for the Best Student Paper Award at the 2011 IEEE International Symposium on Circuits and Systems.View more
Center for Pervasive Communications and Computing, University of California at Irvine, Irvine, USA
A. Lee Swindlehurst (Fellow, IEEE) received the B.S. and M.S. degrees in electrical engineering from Brigham Young University (BYU) in 1985 and 1986, respectively, and the Ph.D. degree in electrical engineering from Stanford University in 1991. He was with the Department of Electrical and Computer Engineering, BYU, from 1990 to 2007, where he served as a Department Chair from 2003 to2006. From 1996 to 1997, he held a joint appointment as a Visiting Scholar at Uppsala University and the Royal Institute of Technology, Sweden. From 2006 to 2007, he was on leave working as a Vice President of Research for ArrayComm LLC, San Jose, California. Since 2007, he has been a Professor with Electrical Engineering and Computer Science Department, University of California Irvine, where he served as an Associate Dean for Research and Graduate Studies at the Samueli School of Engineering from 2013 to 2016. From 2014 to 2017, he was also a Hans Fischer Senior Fellow with the Institute for Advanced Studies, Technical University of Munich. In 2016, he was elected as a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). His research focuses on array signal processing for radar, wireless communications, and biomedical applications, and he has over 300 publications in these areas. He received the 2000 IEEE W. R. G. Baker Prize Paper Award, the 2006 IEEE Communications Society Stephen O. Rice Prize in the field of communication theory, the 2006 and 2010 IEEE Signal Processing Societys Best Paper Awards, and the 2017 IEEE Signal Processing Society Donald G. Fink Overview Paper Award. He was the inaugural Editor-in-Chief of the IEEE Journal of Selected Topics in Signal Processing.
A. Lee Swindlehurst (Fellow, IEEE) received the B.S. and M.S. degrees in electrical engineering from Brigham Young University (BYU) in 1985 and 1986, respectively, and the Ph.D. degree in electrical engineering from Stanford University in 1991. He was with the Department of Electrical and Computer Engineering, BYU, from 1990 to 2007, where he served as a Department Chair from 2003 to2006. From 1996 to 1997, he held a joint appointment as a Visiting Scholar at Uppsala University and the Royal Institute of Technology, Sweden. From 2006 to 2007, he was on leave working as a Vice President of Research for ArrayComm LLC, San Jose, California. Since 2007, he has been a Professor with Electrical Engineering and Computer Science Department, University of California Irvine, where he served as an Associate Dean for Research and Graduate Studies at the Samueli School of Engineering from 2013 to 2016. From 2014 to 2017, he was also a Hans Fischer Senior Fellow with the Institute for Advanced Studies, Technical University of Munich. In 2016, he was elected as a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). His research focuses on array signal processing for radar, wireless communications, and biomedical applications, and he has over 300 publications in these areas. He received the 2000 IEEE W. R. G. Baker Prize Paper Award, the 2006 IEEE Communications Society Stephen O. Rice Prize in the field of communication theory, the 2006 and 2010 IEEE Signal Processing Societys Best Paper Awards, and the 2017 IEEE Signal Processing Society Donald G. Fink Overview Paper Award. He was the inaugural Editor-in-Chief of the IEEE Journal of Selected Topics in Signal Processing.View more
