Signal Processing and Computation in Cellular Wireless: From 4G to 5G Networks
TITLE:
Signal Processing and Computation in Cellular Wireless: From 4G to
5G Networks
DATE:
Friday, October 14th, 2016
TIME:
3:30 PM
LOCATION:
GMCS 314
SPEAKER:
Dr. Duy H. N. Nguyen, Ph.D. Assistant Professor at the Department of
Electrical and Computer Engineering, San Diego State University.
ABSTRACT:
Cellular wireless or mobile communications have seen four
generations of technological advancements. From the third
generation, mobile communications incorporate data on top of a
voice-based infrastructure. With the fourth generation (4G) LTE
networks, every service was converted into data format including
voice and video. Recent advanced signal processing techniques, such
as multiple-input multiple-output (MIMO) transmissions, have enabled
4.5G LTE-Advanced networks to gigabits/s data transmission rate.
Today, wireless technologists are proposing fifth generation (5G)
networks for around the time frame of 2020. As 5G networks are
expected to support 1,000-fold more capacity than the current 4G LTE
networks, most consider this time to be when new infrastructure will
need to be renewed and more advanced signal processing techniques
will need to be developed. Although there is no universal consensus
on what 5G will be, most agree that 5G should possess a number of
features such as: massive MIMO, millimeter-wave (mmWave)
communication and device-centric architectures. In this talk, we
will provide an overview on the signal processing and computation
aspects of MIMO, multiuser MIMO, network-MIMO and massive MIMO
developments applicable to 5G networks. We will discuss the pros and
cons of mmWave communication and its viability in 5G networks.
Finally, we will argue how 5G networks will move from the
traditional cell-centric architectures to the device-centric
architectures and how signal processing and computation can be done
to assist such process.
HOST:
Dr. Sunil Kumar
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