Category Archives: Lectures

On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, We are delighted to invite you to an IEEE Technical Seminar by Lic. Eng. Mats Andersson, Huawei Technologies Sweden AB, Wireless R&D, Stockholm R&D Center, Sweden.

Time: Wed Jan 16, 2019, at 13:00-14:00
Location: Room EL42, floor 4, EDIT building, Hörsalsvägen 11, Campus Johanneberg, Chalmers University of Technology, 412 96 Gothenburg, Sweden. (Link to google maps)
Local host: Tomas Eriksson, tomase@chalmers.se

Title: Massive MIMO: History, Evolution and Future

Abstract:
In 2011 researchers at Huawei Technologies Sweden AB proposed a new type of base station architecture with the aim to increase capacity by about 1000 % compared to the state-of-the art 2T2R base station used by most operators at this time. At first the possibility of such an increase of capacity was met with skepticism. Not so strange considering that most development projects at this time focused on increasing efficiency of base station power amplifiers, algorithms, or antenna sector coverage by single percentage figures. However, in 2013 the Swedish team had through hard work and many innovative ideas convincingly shown the feasibility of the solution, which by this time was known under the name Massive MIMO. In 2014 Huawei built its first large scale lab prototype in Shanghai and performed tests with China Mobile. In 2015 the first commercial Massive MIMO base station was deployed by China Mobile. In 2018 Huawei’s Massive MIMO products have seen large-scale deployment in over 40 countries, such as Japan, China, Spain, UK, and Saudi Arabia.
This talk will give an overview of the benefits of Massive MIMO, the history of Massive MIMO at Huawei, some recent performance figures and discuss possible future developments of Massive MIMO.

For any further questions, please contact the local host.

Biography:
Mats Andersson has three university degrees (Lic. Eng., M. Sc. and B.A.) and more than 30 years international wireless and telecom experience working at various engineering and management positions at Ericsson (in Canada, England and Sweden) He left Ericsson 2006 to become CEO of the start-up company Bluetest AB. During his 5 years as CEO Bluetest grew rapidly to become the world leading MIMO Over-The-Air (OTA) test company. In 2011 Mats joined Huawei Technologies Sweden AB as Site and System Manager Radio Base Systems in Gothenburg. During his time at Huawei the Gothenburg office became a world leading competence center for Higher Order MIMO and Massive MIMO base stations. In 2014 Mats started the company MUMIMO AB to focus on innovation and business development for small and large wireless companies. Since September 2018 Mats is back at Huawei Technologies Sweden AB as CTO, Wireless R&D, Stockholm R&D Center, Sweden. He also holds roles as Chairman of the Board of Forsway Scandinavia AB, SweGaN AB, Satcube AB and MUMIMO AB and is a Board member of Bluetest AB and Gefle Testteknik AB.

On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, We are delighted to invite you to an IEEE Technical Seminar by Prof. David Gesbert, EURECOM, France.

Time: Mon Nov 19, 2018, at 14:30-15:30
Location: Room EDIT 3364, floor 3, EDIT building, Hörsalsvägen 11, Campus Johanneberg, Chalmers University of Technology, 412 96 Gothenburg, Sweden. (Link to google maps)
Local host: Tommy Svensson, tommy.svensson@chalmers.se

Title: Learning from the sky: Autonomous flying access networks for beyond 5G

Abstract:
The use of flying robots (drones) carrying radio transceiver equipment is the new promising frontier in our quest towards ever more flexible, adaptable and spectrally efficient wireless networks. Beyond obvious challenges within regulatory, control, navigation, and operational domains, the deployment of autonomous flying radio access network (Fly-RANs) also comes with a number of exciting new research problems such as the issue of autonomous real-time placement of the drones in a way that can guarantee user and network performance. We present several different scenarios of interest such as IoT monitoring and mobile broadband access. The approaches lie at the cross-roads between machine learning, signal processing and optimization. Some approaches exploit the reconstruction of 3D map from sampled radio measurements which can have application beyond the realm of communications. Early-stage practical realizations are demonstrated.

For any further questions, please contact the local host.

Biography:
David Gesbert (IEEE Fellow) is Professor and Head of the Communication Systems Department, EURECOM. He obtained the Ph.D degree from Ecole Nationale Superieure des Telecommunications, France, in 1997. From 1997 to 1999 he has been with the Information Systems Laboratory, Stanford University. He was then a founding engineer of Iospan Wireless Inc, a Stanford spin off pioneering MIMO-OFDM (now Intel).
Before joining EURECOM in 2004, he has been with the Department of Informatics, University of Oslo as an adjunct professor. D. Gesbert has published about 270 papers and 25 patents, some of them winning the 2015 IEEE Best Tutorial Paper Award (Communications Society), 2012 SPS Signal Processing Magazine Best Paper Award, 2004 IEEE Best Tutorial Paper Award (Communications Society), 2005 Young Author Best Paper Award for Signal Proc. Society journals, and paper awards at conferences 2011 IEEE SPAWC, 2004 ACM MSWiM. He has been a Technical Program Co-chair for ICC2017. He was named a Thomson-Reuters Highly Cited Researchers in Computer Science.
David sits on the board of the OpenAirInterface Software Alliance and is also a visiting Academic Master within the Program 111 at the Beijing University of Posts and Telecommunications. Since 2015, he holds the ERC Advanced grant “PERFUME” on the topic of smart device Communications in future wireless networks (www.ercperfume.org).