DR BOAZ BEN-MOSHE. PROFESSOR, ARIEL UNIVERSITY
Dr Boaz Ben-Moshe is a Professor from the Computer Sciences Department at Ariel University. He completed his doctoral studies in 2004 at Ben-Gurion University, under the guidance of Prof. Matya Katz. In 2004–2005 he served as a post-doctoral student at SFU University (Vancouver, Canada). At the end of 2005, he joined Ariel University. In 2008, together with Dr. Nir Shvalb, he established the K&CG Research Laboratory, which deals with a variety of research areas connected to geometry, mapping, movement planning and geometric optimization. In 2014 he established the research laboratory for nano-satellites which deals with a variety of areas connected to small satellites.
Presentation Synopsis:
“MAXIMIZING THE THROUGHPUT OF NANOSATELLITES VIA AD-HOC MULTI GROUND STATIONS”
Nanosatellites are becoming a preferred platform to test innovative technologies and conduct academic research in space. The growing number of nanosatellites produces a massive amount of data that needs to be transmitted to dedicated ground stations. Nanosatellites commonly have a relatively narrow bandwidth and their expected visibility is about 1% of the time (assuming a single ground station and an LEO). Thus, the effective throughput of nanosatellites is limited.
This research presents the concept of multi-ground stations, such as TinyGS.com, which schedules hundreds of amature (low cost) ground stations to “listen” to the “closest” nanosatellite (using LoRa). In particular, the communication performance of our picosatellite (named SATLLA-2B), demonstrates the collaborative potential of the suggested model.
Therefore, we present a resource allocation optimization problem to maximize the communication performance of the suggested model. More formally, Given a set (S) of n satellites, each of which transmits a unique message on a unique frequency, and a set (R) of k receivers, each of which can listen to only a single frequency. The objective is to maximize the expectation (E) of the total unique messages received by all the k receivers.
A theoretical optimization model will be presented following a generic heuristical framework for optimizing the allocation problem. Finally, the suggested multi ground station concept will be generalized from RF communication to Free Space Optics (laser communication).