The IEEE Young Professionals affinity group under the IEEE Kharagpur Section are pleased to announce the start of our online seminar series, the “KYP Talks” series. In this seminar series, we will host invited talks by experts from India and abroad on a wide range of current topics for the large community within and outside the IEEE Kharagpur Section.

 

We kick start this initiative this upcoming Monday! We are pleased to host Dr. Zheng Chen as our first speaker.

 

The following are the details of the first talk in this series:

Webinar Title : ” Leveraging the heterogeneity and randomness of mobile data traffic “

Date : Monday, 22nd June, 2020

Time : 03:30pm to 4:30pm

 

The audience members can join the live talk by sharing basic details  through the registration link (given below). There will be a Q and A session during/after the talk.

 

With Best Wishes,

IEEE YPAG Team,

Kharagpur Section.

For Registration Click Here

Speaker

Speaker Bio

Dr. Zheng Chen,
Linköping University,
Sweden.

Dr. Zheng Chen received the B.S. degree from Huazhong University of Science and Technology (HUST), China, in 2011. Then she received the M.Sc. and Ph.D. degrees from CentraleSupélec, University of Paris-Saclay, France, in 2013 and 2016, respectively. From June to November 2015, she was a visiting scholar at Singapore University of Technology and Design (SUTD), Singapore. Since January 2017, she has been a postdoc researcher in Linköping University, Sweden.

Her research interests include stochastic modelling and analysis, cross-layer control and optimization, wireless edge caching, machine-type communication, energy harvesting, and the Internet of Things.

Dr. Chen is the recipient of the 2020 IEEE Communications Society Young Author Best Paper Award. She was selected as an Exemplary Reviewer for IEEE Communications Letters in 2016, for IEEE Transactions on Wireless
Communications in 2017, and for IEEE Transactions on Communications in  2019.

Abstract

Traditional performance metrics for wireless networks are mostly based on the data rates. In most cases, characterizing the achievable rates has an inherent assumption that all the network nodes have infinite amount of data to transmit (infinite backlog). However, in practical scenarios, the data traversing through a network usually follows a bursty manner, and different applications might generate heterogeneous data traffic with different performance objectives. Ignoring the randomness and heterogeneity of mobile data traffic often leads to sub-optimal and inefficient resource allocation. In this talk, I will give a brief overview about dynamic scheduling and cross-layer control in wireless networks with random data traffic. Two explicit examples will be presented. The first one is dynamic resource allocation in co-located and cell-free Massive MIMO systems, and the second is optimizing information freshness in a multiple access channel with an energy harvesting sensor. For both problems, we have applied the Lyapunov optimization theory to develop dynamic scheduling algorithms that optimize some time-average quantity of network performance with stability guarantee.