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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