Abstract:
The observed coherence times associated with different wireless transmitters at any given user may vary at different rates. We demonstrate how these variations can be exp...Show MoreMetadata
Abstract:
The observed coherence times associated with different wireless transmitters at any given user may vary at different rates. We demonstrate how these variations can be exploited for interference management. More precisely, we propose a new opportunistic blind interference alignment (BIA) strategy in the context of K -user interference channels that exploits these variations in coherence times and provides significant data rate gains. We first provide a proof-of-concept setup in which the information about coherence time variations is available non-causally to the transmitters, and we demonstrate how transmitters and receivers can perform pre-coding and post-processing, respectively, to align a considerable part of the interference signal power. We note that in this non-causal scenario, no channel state information is available to the transmitters, and we make no specific assumption on the channel distributions. We take the key ideas of this scenario and consider a K -user interference channel in which the direct links vary at a higher pace compared to the cross links. This assumption is motivated by considering mobile users, or by using our proposed transmit antenna for stationary or low-mobility users. We show how to eliminate the need for non-causal knowledge of coherence time variations, and still provide significant capacity gains.
Published in: IEEE Transactions on Communications ( Volume: 68, Issue: 10, October 2020)

Kermanshah, Iran
Milad Johnny received the B.Sc. and M.Sc. degrees in electrical and communication engineering from the Iran University of Science and Technology, Tehran, Iran, in 2010 and 2012, respectively, and the Ph.D. degree from the Sharif University of Technology in 2018. Since 2012, he has been with the Information Systems and Security Laboratory (ISSL), Sharif University of Technology. From March 2016 to September 2016, he was a ...Show More
Milad Johnny received the B.Sc. and M.Sc. degrees in electrical and communication engineering from the Iran University of Science and Technology, Tehran, Iran, in 2010 and 2012, respectively, and the Ph.D. degree from the Sharif University of Technology in 2018. Since 2012, he has been with the Information Systems and Security Laboratory (ISSL), Sharif University of Technology. From March 2016 to September 2016, he was a ...View more

Department of Electrical Engineering, University of Colorado Denver, Denver, CO, USA
Alireza Vahid (Member, IEEE) received the B.Sc. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2009, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from Cornell University, Ithaca, NY, USA, in 2012 and 2015, respectively. From 2015 to 2017, he was a Post-Doctoral Research Scientist at the Information Initiative, Duke University, Durham, NC, USA. He is cu...Show More
Alireza Vahid (Member, IEEE) received the B.Sc. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2009, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from Cornell University, Ithaca, NY, USA, in 2012 and 2015, respectively. From 2015 to 2017, he was a Post-Doctoral Research Scientist at the Information Initiative, Duke University, Durham, NC, USA. He is cu...View more

Kermanshah, Iran
Milad Johnny received the B.Sc. and M.Sc. degrees in electrical and communication engineering from the Iran University of Science and Technology, Tehran, Iran, in 2010 and 2012, respectively, and the Ph.D. degree from the Sharif University of Technology in 2018. Since 2012, he has been with the Information Systems and Security Laboratory (ISSL), Sharif University of Technology. From March 2016 to September 2016, he was a Visiting Student with the Coding Signal Transmission Laboratory (CSTL), Waterloo University, ON, Canada. His research interests include coding and information theory, wireless communications, and signal and array processing. In 2019, he received the highly prestigious 21st Khwarizmi Young Award, which is given annually by the Iranian Research Organization for Science and Technology (IROST) under the Ministry of Science, Research and Technology of Iran to individuals who have made outstanding achievements in research, innovation, and invention. Due to his outstanding research in the area of communication and wireless technology, he was awarded by the World Intellectual Property Organization (WIPO) in 2019.
Milad Johnny received the B.Sc. and M.Sc. degrees in electrical and communication engineering from the Iran University of Science and Technology, Tehran, Iran, in 2010 and 2012, respectively, and the Ph.D. degree from the Sharif University of Technology in 2018. Since 2012, he has been with the Information Systems and Security Laboratory (ISSL), Sharif University of Technology. From March 2016 to September 2016, he was a Visiting Student with the Coding Signal Transmission Laboratory (CSTL), Waterloo University, ON, Canada. His research interests include coding and information theory, wireless communications, and signal and array processing. In 2019, he received the highly prestigious 21st Khwarizmi Young Award, which is given annually by the Iranian Research Organization for Science and Technology (IROST) under the Ministry of Science, Research and Technology of Iran to individuals who have made outstanding achievements in research, innovation, and invention. Due to his outstanding research in the area of communication and wireless technology, he was awarded by the World Intellectual Property Organization (WIPO) in 2019.View more

Department of Electrical Engineering, University of Colorado Denver, Denver, CO, USA
Alireza Vahid (Member, IEEE) received the B.Sc. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2009, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from Cornell University, Ithaca, NY, USA, in 2012 and 2015, respectively. From 2015 to 2017, he was a Post-Doctoral Research Scientist at the Information Initiative, Duke University, Durham, NC, USA. He is currently an Assistant Professor of electrical engineering with the University of Colorado Denver, Denver. His research interests include network information theory, wireless communications, coding theory, and applications of coding theory in high-performance computer memory systems. He received the 2015 Outstanding Ph.D. Thesis Research Award, the 2010 Director’s Ph.D. Teaching Award, and the Jacobs Scholar Fellowship in 2009 from Cornell University. He also received the Qualcomm Innovation Fellowship in 2013 and the Lab Venture Challenge Award in 2019.
Alireza Vahid (Member, IEEE) received the B.Sc. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2009, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from Cornell University, Ithaca, NY, USA, in 2012 and 2015, respectively. From 2015 to 2017, he was a Post-Doctoral Research Scientist at the Information Initiative, Duke University, Durham, NC, USA. He is currently an Assistant Professor of electrical engineering with the University of Colorado Denver, Denver. His research interests include network information theory, wireless communications, coding theory, and applications of coding theory in high-performance computer memory systems. He received the 2015 Outstanding Ph.D. Thesis Research Award, the 2010 Director’s Ph.D. Teaching Award, and the Jacobs Scholar Fellowship in 2009 from Cornell University. He also received the Qualcomm Innovation Fellowship in 2013 and the Lab Venture Challenge Award in 2019.View more