MACHINE LEARNING IN NEXT GEN NETWORKS VIA GANs


Details
Free Virtual Event. Please register here to get the Zoom info:
[https://sjsu.zoom.us/meeting/register/Z_taUMeBToOdhz_HMLcolg ](https://sjsu.zoom.us/meeting/register/Z_taUMeBToOdhz_HMLcolg )
Registration ends August 11, 2025 11:59 PM PDT
Generative Adversarial Networks (GANs) implement Machine Learning (ML) algorithms that can address competitive resource allocation problems, together with detection and mitigation of anomalous behavior. In this talk, the speaker will discuss their use in next-generation (NextG) communications within the context of cognitive networks to address i) spectrum sharing, ii) detecting anomalies, and iii) mitigating security attacks. GANs have the following advantages. First, they can learn and synthesize field data, which can be costly, time-consuming, and non-repeatable. Second, they enable pre-training classifiers by using semisupervised data. Third, they facilitate increased resolution. Fourth, they enable recovering corrupted bits in the spectrum. The talk will provide basics of GANs, a comparative discussion on different kinds of GANs, performance measures for GANs in computer vision and image processing as well as wireless applications, a number of datasets for wireless applications, performance measures for general classifiers, a survey of the literature on GANs for i)–iii) above, some simulation results, and future research directions. In the spectrum sharing problem, connections to cognitive wireless networks are established. Simulation results show that a particular GAN implementation is better than a convolutional autoencoder for an outlier detection problem in spectrum sensing.
Speaker:
Dr. Ender Ayanoglu
Ender Ayanoglu received the Ph.D. degree from Stanford University,
Stanford, CA, in 1986, in electrical engineering. He was with the
Communications Systems Research Laboratory, part of AT&T Bell
Laboratories, Holmdel, NJ, until 1996, and Bell Labs, Lucent
Technologies until 1999. From 1999 until 2002, he was a Systems
Architect at Cisco Systems, Inc., San Jose, CA. Since 2002, he has
been a Professor in the Department of Electrical Engineering and
Computer Science, University of California, Irvine, Irvine, CA, where
he served as the Director of the Center for Pervasive Communications
and Computing and held the Conexant-Broadcom Endowed Chair during
2002-2010. His past accomplishments include the invention of the 56K
modems, characterization of wavelength conversion gain in Wavelength
Division Multiplexed (WDM) systems, and diversity coding, a technique
for link failure recovery in communication networks employing erasure
coding introduced in 1990, before the publication of the first
papers on network coding. During 2000-2001, he served as the founding
chair of the IEEE-ISTO Broadband Wireless Internet Forum (BWIF), an
industry standards organization that developed and built a broadband
wireless system employing Orthogonal Frequency Division Multiplexing
(OFDM) and a Medium Access Control (MAC) algorithm that provides
Quality-of-Service (QoS) guarantees. This system is the precursor of
today’s Fourth and Fifth Generation (4G and 5G) cellular wireless
systems. From 1993 until 2014, Dr. Ayanoglu was an Editor, and since
January 2014 is a Senior Editor of the IEEE Transactions on
Communications. He served as the Editor-in-Chief of the IEEE
Transactions on Communications from 2004 to 2008. From January 2015
until December 2016, he served as the Editor-in-Chief of the IEEE
Journal on Selected Areas in Communications - Series on Green
Communications and Networking. This series published three special
issues with record number of papers. He led the efforts to start the
IEEE Transactions on Green Communications and Networking and served as
its Founding Editor-in-Chief from August 2016 to August 2020. From
1990 to 2002, he served on the Executive Committee of the IEEE
Communications Society Communication Theory Committee, and from 1999
to 2002, he was its Chair. Dr. Ayanoglu is the recipient of the IEEE
Communications Society Stephen O. Rice Prize Paper Award in 1995, the
IEEE Communications Society Best Tutorial Paper Award in 1997, the
IEEE Communications Society Communication Theory Technical Committee
Outstanding Service Award in 2014, and the IEEE Communications Society
Joseph LoCicero Award for outstanding contributions to IEEE Communications
Society Journals as Editor, Editor-in-Chief (EiC), and the founding EiC in
2023. He has been an IEEE Fellow since 1998. He served as an IEEE Communications
Society Distinguished Lecturer in 2022-2023. He is serving a second term as
the IEEE Communications Society Distinguished Lecturer in 2024-2025.
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MACHINE LEARNING IN NEXT GEN NETWORKS VIA GANs