Important Dates

Oct. 1, 2017 Sep. 11, 2017
Submission deadline

Oct. 20, 2017
Notification of Acceptance

Nov. 24, 2017
Final paper submission date

Plenary Talks

Plenary Talk 1 (25 Jan. 2018)


Mobile Communications Network Evolution and Distributed MIMO for 5G Enhanced Mobile Broadband

Fumiyuki Adachi (Specially Appointed Prof.,Tohoku University, Japan)

Specially Appointed Professor, Research Organization of Electrical Communication (ROEC)
2-1-1 Katahira, Aoba-Ku, Sendai, Miyagi, 980-8577, Japan

Mobile communications network has now evolved into the 4th generation (4G). Mobile broadband services have been becoming more and more popular. Recently, the development of 5G network for providing 5G enhanced mobile broadband (eMBB) services is on-going worldwide. Since the available frequency bandwidth is limited, the area spectrum efficiency (ASE), bps/Hz/km2, has been the most important concern for the last few decades. An increasing popularity of broadband services causes a problem of increased energy consumption. Therefore, the energy efficiency (EE), bits/Joule, has also become an important concern for battery operated mobile terminals in particular. Distributed MIMO can improve both ASE and EE simultaneously.
After briefly overviewing the evolution of mobile communications network, , we will introduce the recent advances in distributed MIMO. A number of distributed antennas are deployed over a traditional macro-cell area covered by a macro-cell base station (MBS). They are connected to the MBS by the optical mobile fronthaul. Distributed MIMO exploits the spatial distribution of both antennas and users. Some of distributed antennas near a user terminal are selected to perform distributed MIMO cooperative transmission, which includes frequency-domain equalization, single-user MIMO diversity, multi-user MIMO multiplexing, and low peak-to-average power ratio (PAPR) waveform design. Also, we will present multi-user scheduling and MIMO channel estimation. Since distributed antennas near a user are selected, MIMO channel has a sparse structure. This sparsity of MIMO channel can be exploited for channel estimation.

Fumiyuki Adachi received the B.S. and Dr. Eng. degrees in electrical engineering from Tohoku University, Sendai, Japan, in 1973 and 1984, respectively. In April 1973, he joined the Electrical Communications Laboratories of Nippon Telegraph & Telephone Corporation (now NTT) and conducted various research on digital cellular mobile communications. From July 1992 to December 1999, he was with NTT Mobile Communications Network, Inc. (now NTT DoCoMo, Inc.), where he led a research group on Wideband CDMA for 3G systems. Since January 2000, he has been with Tohoku University, Sendai, Japan. He was a full professor at the Graduate School of Engineering until March 2016, and now a Specially Appointed Professor for Research at the Research Organization of Electrical Communication (ROEC) at the same university. His research interests lie in the area of wireless signal processing and networking, e.g., multi-access, equalization and diversity, MIMO, radio resource management, etc.).
He is an IEICE Fellow and an IEEE Life Fellow. He is a recipient of the IEEE Vehicular Technology Society Avant Garde Award 2000, IEICE Achievement Award 2002, Thomson Scientific Research Front Award 2004, Ericsson Telecommunications Award 2008, Telecom System Technology Award 2009, Prime Minister Invention Award 2010, British Royal Academy of Engineering Distinguished Visiting Fellowship 2011, KDDI Foundation Excellent Research Award 2012, C&C Prize 2014, Rinzaburo Shida Award 2017, Sendai Municipal Commendation 2017, and IEEE VTS Stuart Meyer Memorial Award 2017. He is listed in Highly Cited Researchers 2001 (http://hcr.stateofinnovation.thomsonreuters.com/page/archives).

Plenary Talk 2 (25 Jan. 2018)


The Evolution of Memory Solutions for Cloud era and its Challenges

Jong Hoon Oh (Senior Vice President / GM, SK Hynix Inc, Korea)

VP / GM, DRAM Product Development Division
2091, Gyeongchung-daero, Bubal-eup, Icheon-si, Gyeonggi-do, Korea

Information Communication Technology has been drastically developed and evolved. Succeeding mobile era flourished by smartphones, data-driven applications are expanding and thriving based on the cloud data centers. It is not merely the increase in the amount of data traffic, but leads to the transformation from compute-driven architecture into multiple innovative ones in wide range of cloud infrastructure. It may include deep learning solution adapted for emerging artificial intelligence (AI) services, high-performance computing (HPC) and in-memory solution for big data and emerging applications. Software-defined infrastructure (SDI) also diversifies the competitiveness of hardware components into more disaggregated way. The mutual effect between advanced infrastructure and emerging smart devices is obvious to contribute prompting new applications. So far, the enhancement of CPU has driven the progress in the infrastructure to support wide spectrum of hardware requirements. However, in the data-driven cloud era, balanced improvement between processor and memory/storage system becomes more important.
In this talk, we will discuss the challenges that the memory industry is facing and share the idea for the memory solutions and its advances to lead memory-centric domain.

Major Achievements
- Designed and Developed World-leading DRAM Products-4M DRAM (fastest), 16M SDRAM (1st with wave pipelining), 64M RDRAM (direct ver.), CellularRAM, DDRx, LPDDRx, GDDRx. HBM, etc.
- Industry contribution in Memory Standard development
- Focus on DRAM scaling limit and memory solution development
- Invented / Co-invented 50+ U.S. Patents