Category Archives: DLT

On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, we are delighted to forward the invitation and welcome you to an ACCESS Distinguished Lecture Series event by Prof. Geoffrey Li, Georgia Institute of Technology, USA.

Time: Thu April 11, 2019, at 15:00
Location: Lecture room V35, floor 5, Teknikringen 76, (Väg och vatten),
KTH main campus, 114 28 Stockholm, Sweden. (Link to map)
Local host site: https://www.kth.se/en/aktuellt/kalender/forelasningar-seminarier/access-distinguished-lecture-series-1.892868

Title: The Deep Learning in Physical Layer Communications

Abstract:
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of communication systems. In this talk, we introduce our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures.

For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems. At the end of the talk, we provide some potential research topics in the area.

For any further questions, please go to the local host site to find contact information.

Biography:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications.
In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 35,000 times and Thomson Reuters almost every year since 2001 have listed him as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher. He has been an IEEE Fellow since 2006.

On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, We are delighted to invite you to an IEEE Vehicular Technology Society Distinguished Lecture Tour (DLT) by Prof. Geoffrey Li, Georgia Institute of Technology, Atlanta, Georgia, USA.

Seminar#1 – Lund University, Lund, Sweden
Title: Device-to-Device Communications in Cellular Networks
Date and time: Mar 14, 2018, 15:15-16:30.
Location: Room E:1406, ground floor, E-building, John Ericssons väg 4, Lund University, Lund, Sweden
Local host: Michael Lentmaier, michael.lentmaier@lth.se.

Abstract:
To satisfy the increasing demand of high data-rate services, provide better user experience, and alleviate the huge infrastructure investment of operators, device-to-device (D2D) communications have being considered as one of the key techniques in the 5G wireless networks. With D2D communications, proximity users in a cellular network can communicate directly to each other without going through the base station (BS). It can potentially increase spectral-efficiency (SE) and device energy-efficiency (EE) of communications. However, D2D communications may generate interference to the existing cellular network if not designed properly. Therefore, interference management is one of the most challenging and important issues in D2D communications. This talk will focus on interference management in D2D communications including quality-of-service (QoS) aware admission control and SE/EE based mode selection. Cross-layer optimization and concave-convex procedures (CCCP) are exploited to solve the related optimization problems.

Seminar#2 – Chalmers, Gothenburg, Sweden
Title: Resource Allocation in Vehicular Communications
Date and time: Mar 16, 2018, 13:00-14:30.
Location: Room EE, floor 6, EDIT building, Hörsalsvägen 11, Campus Johanneberg, Chalmers University of Technology, Gothenburg, Sweden.
Local host: Tommy Svensson, tommy.svensson@chalmers.se

Seminar#3 – Linköping University, Linköping, Sweden
Title: Resource Allocation in Vehicular Communications
Date and time: Mar 19, 2018, 10:15-11:30.
Location: Room Systemet, floor 2, entrance 27, B building, Campus Valla, Linköping University, Linköping, Sweden.
Local host: Danyo Danev, danyo.danev@liu.se.

Abstract:
This talk will address resource allocation in vehicular communications. Different from traditional resource allocation, strong dynamics caused by high mobility in the vehicular environments poses a serious obstacle to the acquisition of high-quality channel state information (CSI). To deal with the issue, we investigate the delay impacts of periodic CSI feedback and develop efficient graph-based centralized resource management schemes to meet the diverse quality-of-service (QoS) requirements in vehicular networks. To further reduce signaling overhead, we take advantage of recent advances in reinforcement learning (RL) and develop an effective distributed resource allocation scheme. We will show that the demanding latency and reliability requirements of vehicular communications, which are hard to model and analyze using traditional methods, can be explicitly accounted for in the proposed deep RL framework.

For any further questions related to a specific seminar, please contact the respective local host.

Biography:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He is also holding a Cheung Kong Scholar title at the University of Electronic Science and Technology of China since 2006. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing for wireless communications. Recently, he focuses on intelligent processing for communication networks. In these areas, he has published over 200 papers on referred journals in addition to over 40 granted patents and many conference papers, with over 30,000 citations. He has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters (almost every year). He has been an IEEE Fellow since 2006. He received the 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, the 2013 IEEE VTS James Evans Avant Garde Award, the 2014 IEEE VTS Jack Neubauer Memorial Award, the 2017 IEEE ComSoc Award for Advances in Communication, and the 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.