Abstract:
A general information transmission model, under independent and identically distributed Gaussian codebook and nearest neighbor decoding rule with processed channel output...Show MoreMetadata
Abstract:
A general information transmission model, under independent and identically distributed Gaussian codebook and nearest neighbor decoding rule with processed channel output, is investigated using the performance metric of generalized mutual information. When the encoder and the decoder know the statistical channel model, it is found that the optimal channel output processing function is the conditional expectation operator, thus hinting a potential role of regression, a classical topic in machine learning, for this model. Without utilizing the statistical channel model, a problem formulation inspired by machine learning principles is established, with suitable performance metrics introduced. A data-driven inference algorithm is proposed to solve the problem, and the effectiveness of the algorithm is validated via numerical experiments. Extensions to more general information transmission models are also discussed.
Published in: IEEE Journal on Selected Areas in Communications ( Volume: 37, Issue: 11, November 2019)
Funding Agency:
CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China
Wenyi Zhang (S’00–M’07–SM’11) received the bachelor’s degree in automation from Tsinghua University in 2001 and the master’s and Ph.D. degrees in electrical engineering from the University of Notre Dame in 2003 and 2006, respectively. He was with the Communication Science Institute, University of Southern California, as a Post-Doctoral Research Associate, and with Qualcomm Incorporated, Corporate Research and Development....Show More
Wenyi Zhang (S’00–M’07–SM’11) received the bachelor’s degree in automation from Tsinghua University in 2001 and the master’s and Ph.D. degrees in electrical engineering from the University of Notre Dame in 2003 and 2006, respectively. He was with the Communication Science Institute, University of Southern California, as a Post-Doctoral Research Associate, and with Qualcomm Incorporated, Corporate Research and Development....View more
CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China
Yizhu Wang received the bachelor’s degree in communication engineering from Southwest Jiaotong University, Chengdu, China, in 2016. She is currently pursuing the Ph.D. degree with the University of Science and Technology of China. Her research focuses on applications of machine learning in wireless communication.
Yizhu Wang received the bachelor’s degree in communication engineering from Southwest Jiaotong University, Chengdu, China, in 2016. She is currently pursuing the Ph.D. degree with the University of Science and Technology of China. Her research focuses on applications of machine learning in wireless communication.View more
Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA
Cong Shen (S’01–M’09–SM’15) received the B.S. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, China, in 2002 and 2004, respectively, and the Ph.D. degree from the Electrical Engineering Department, UCLA, in 2009. From 2009 to 2014, he was with Qualcomm Research, San Diego, CA, USA. From 2015 to 2019, he was a specially appointed Professor with the School of Information Science and Tech...Show More
Cong Shen (S’01–M’09–SM’15) received the B.S. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, China, in 2002 and 2004, respectively, and the Ph.D. degree from the Electrical Engineering Department, UCLA, in 2009. From 2009 to 2014, he was with Qualcomm Research, San Diego, CA, USA. From 2015 to 2019, he was a specially appointed Professor with the School of Information Science and Tech...View more
CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China
Ning Liang received the B.E. and Ph.D. degrees from the University of Science and Technology of China in 2012 and 2017, respectively. He is a Senior Engineer currently with Huawei Technologies. His research interests include massive MIMO, millimeter-wave communications, and array signal processing.
Ning Liang received the B.E. and Ph.D. degrees from the University of Science and Technology of China in 2012 and 2017, respectively. He is a Senior Engineer currently with Huawei Technologies. His research interests include massive MIMO, millimeter-wave communications, and array signal processing.View more
Contents CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China
Wenyi Zhang (S’00–M’07–SM’11) received the bachelor’s degree in automation from Tsinghua University in 2001 and the master’s and Ph.D. degrees in electrical engineering from the University of Notre Dame in 2003 and 2006, respectively. He was with the Communication Science Institute, University of Southern California, as a Post-Doctoral Research Associate, and with Qualcomm Incorporated, Corporate Research and Development. He is currently a Professor with the Department of Electronic Engineering and Information Science, University of Science and Technology of China. His research interests include wireless communications and networking, information theory, and statistical signal processing. He was an Editor of the IEEE Communications Letters. He is currently an Editor of the IEEE Transactions on Wireless Communications.
Wenyi Zhang (S’00–M’07–SM’11) received the bachelor’s degree in automation from Tsinghua University in 2001 and the master’s and Ph.D. degrees in electrical engineering from the University of Notre Dame in 2003 and 2006, respectively. He was with the Communication Science Institute, University of Southern California, as a Post-Doctoral Research Associate, and with Qualcomm Incorporated, Corporate Research and Development. He is currently a Professor with the Department of Electronic Engineering and Information Science, University of Science and Technology of China. His research interests include wireless communications and networking, information theory, and statistical signal processing. He was an Editor of the IEEE Communications Letters. He is currently an Editor of the IEEE Transactions on Wireless Communications.View more
CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China
Yizhu Wang received the bachelor’s degree in communication engineering from Southwest Jiaotong University, Chengdu, China, in 2016. She is currently pursuing the Ph.D. degree with the University of Science and Technology of China. Her research focuses on applications of machine learning in wireless communication.
Yizhu Wang received the bachelor’s degree in communication engineering from Southwest Jiaotong University, Chengdu, China, in 2016. She is currently pursuing the Ph.D. degree with the University of Science and Technology of China. Her research focuses on applications of machine learning in wireless communication.View more
Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA
Cong Shen (S’01–M’09–SM’15) received the B.S. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, China, in 2002 and 2004, respectively, and the Ph.D. degree from the Electrical Engineering Department, UCLA, in 2009. From 2009 to 2014, he was with Qualcomm Research, San Diego, CA, USA. From 2015 to 2019, he was a specially appointed Professor with the School of Information Science and Technology, University of Science and Technology of China (USTC). He is currently an Assistant Professor with the Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia. He has a broad research interest in machine learning, wireless communications, and information theory, with the current focus on theoretical learning models, algorithms, and their engineering applications. He currently serves as an Editor for the IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters.
Cong Shen (S’01–M’09–SM’15) received the B.S. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, China, in 2002 and 2004, respectively, and the Ph.D. degree from the Electrical Engineering Department, UCLA, in 2009. From 2009 to 2014, he was with Qualcomm Research, San Diego, CA, USA. From 2015 to 2019, he was a specially appointed Professor with the School of Information Science and Technology, University of Science and Technology of China (USTC). He is currently an Assistant Professor with the Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia. He has a broad research interest in machine learning, wireless communications, and information theory, with the current focus on theoretical learning models, algorithms, and their engineering applications. He currently serves as an Editor for the IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters.View more
CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China
Ning Liang received the B.E. and Ph.D. degrees from the University of Science and Technology of China in 2012 and 2017, respectively. He is a Senior Engineer currently with Huawei Technologies. His research interests include massive MIMO, millimeter-wave communications, and array signal processing.
Ning Liang received the B.E. and Ph.D. degrees from the University of Science and Technology of China in 2012 and 2017, respectively. He is a Senior Engineer currently with Huawei Technologies. His research interests include massive MIMO, millimeter-wave communications, and array signal processing.View more
