About the Author: Marc Kurtz
CIAN Undergraduate student and former participant in the CIAN Integrated Optics for Undergraduates Program, Marc Kurtz, research was recently accepted for publication. The paper will be published in the journal Performance Evaluation, Special Issue from IFIP Performance 2015. Marc’s mentor, Dr. Guy Grebla will be presenting their project at the 33rd International Symposium on Computer Performance, Modeling, Measurements, and Evaluation in Sydney, Australia October 19-21, 2015.
In Summer 2014 Marc was selected to participated in Dr. Gil Zussman’s WimNet Lab at Columbia University under Dr. Zussman’s and Dr. Guy Grebla’s mentorship. After the summer Marc went on to receive an Undergraduate Research Fellowship and continued his research into the school year. Marc will begin his graduate work in Electrical Engineering at The Cooper Union. He’ll also be working with a start-up company called MMT Diagnostics.
Coordinated Multipoint with Joint Transmission
Cellular networks are facing ever-growing demand for more bandwidth for ever more devices, especially with the onset of the Internet of Things (IoT) and Machine to Machine (M2M). CoMP with JT (Coordinated MultiPoint with Joint Transmission) is an attempt to help cellular networks keep up with the new requirements by allowing for quicker packet delivery through the utilization of novel joint transmission technology. This technology allows two base stations to transmit the same packet to a wireless user simultaneously, increasing its chances of being received. The problem now becomes finding packet scheduling algorithms that maximize the usefulness of joint transmission but do not take too long to run, lessening the speed of the packet delivery system.
To this end, we wrote simulations to model the behavior of a cellular network capable of joint transmission. I spent the last year implementing two of the approximation algorithms and improving the simulation procedure. In addition, I ran the simulations for specific topologies to collect data on how each algorithm performs under specific conditions and provided the data to the rest of the team in an analytical format. As we collected data, we refined our simulation parameters and I ran the simulation under new conditions and provided new graphs and metrics by which to analyze the data. In comparing the individual performance of each algorithm, we discovered that one approximation, JTK-STA, consistently outperformed the other, JTK-MAT, except for a specific few cases. All in all, however, all of the algorithms severely increased the packet throughput for users who had previously experienced high interference from surrounding cellular cells, freeing more resources and allowing for greater data delivery rates.
Being involved in research has transformed my perspective on science and engineering and taught me to see it as a body of knowledge to which I have the ability to contribute and expand. I will be continuing at the graduate level where I will be working on a Master’s thesis.