Seminarium Wydziałowe
Jesteś tutaj: Strona główna
czwartek, Wrzesień 6, 2018
Dziekan Wydziału serdecznie zaprasza pracowników oraz studentów na
seminarium wydziałowe, które
odbędzie się w czwartek 13 września o godz. 12.30 (Instytut Informatyki, sala 119). Prelegentem będzie
prof. Magnus M. Halldorsson
z Uniwersytetu w Reykjaviku, który wygłosi wykład pt.
"The algorithmic study of wireless networking". Przed seminarium, o godz. 12.00, Dziekan zaprasza na kawę i ciastka.
Streszczenie: Wireless communication has had tremendous impact on our lives and promises to feature prominently in future technologies, such as the Internet-of-Things.
We are interested here in addressing fundamental wireless networking problems, giving algorithms with rigorous reasoning and obtaining results that hold in wide variety of technologies and environments.
We first outline recent progress in the challenging physical (or SINR) model of wireless communication, focusing on the basic questions of "How much wireless communication can coexist?" and "How to maximize the throughput?"
We then turn our attention to meta-questions that mirror those faced by any researcher: "What is the right model in which to study the phenomena of interest?" and "What are the 'right' questions to study?"
The talk will make no assumptions about familiarity with communication systems or theory, nor about algorithmic techniques/analysis.
Streszczenie: Wireless communication has had tremendous impact on our lives and promises to feature prominently in future technologies, such as the Internet-of-Things.
We are interested here in addressing fundamental wireless networking problems, giving algorithms with rigorous reasoning and obtaining results that hold in wide variety of technologies and environments.
We first outline recent progress in the challenging physical (or SINR) model of wireless communication, focusing on the basic questions of "How much wireless communication can coexist?" and "How to maximize the throughput?"
We then turn our attention to meta-questions that mirror those faced by any researcher: "What is the right model in which to study the phenomena of interest?" and "What are the 'right' questions to study?"
The talk will make no assumptions about familiarity with communication systems or theory, nor about algorithmic techniques/analysis.
