BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Cognitive Access Policies under a Primary ARQ process via Forward-
 Backward Interference Cancellation
DTSTART:20131016T160000
DTEND:20131016T170000
DTSTAMP:20260509T054133Z
UID:b2e511e5946fa35faddae20bbea8e3e306bd630396c54ab5570f117d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Michele Zorzi\, University of Padova\nBio: Michele Zorzi
  is a Professor at the Department of Information Engineering of the Univer
 sity of Padova. Prior to his current appointment\, he was employed at the 
 Politecnico di Milano\, the University of Ferrara and the University of Ca
 lifornia at San Diego\, with which he still has an active collaboration. H
 e received a PhD in Electrical Engineering from the University of Padova i
 n 1994. Michele was the EiC of the IEEE Wireless Communications magazine i
 n 2003-2005\, and the EiC of the IEEE Transactions on Communications in 20
 08-2011\, and has served on the Editorial Boards of the top journals in hi
 s area of research and on the Organizing and Technical Program Committee f
 or many international conferenced. He is an IEEE Fellow. His main research
  interests are in the area of wireless communications and networking\, sen
 sor networks and IoT\, underwater communications and networks\, cognitive 
 networking\, and energy-efficient protocol design. His work is widely cite
 d\, with a total of more than 11000 citations and an h-index of 51.\nThis 
 work introduces a novel technique for access by a cognitive Secondary User
  (SU) using best-effort transmission to a spectrum with an incumbent Prima
 ry User (PU)\, which uses Type-I Hybrid ARQ. The technique leverages the p
 rimary ARQ protocol to perform Interference Cancellation (IC) at the SU re
 ceiver (SUrx). Two IC mechanisms that work in concert are introduced: Forw
 ard IC\, where SUrx\, after decoding the PU message\, cancels its interfer
 ence in the (possible) following PU retransmissions of the same message\, 
 to improve the SU throughput\; Backward IC\, where SUrx performs IC on pre
 vious SU transmissions\, whose decoding failed due to severe PU interferen
 ce. Secondary access policies are designed that determine the secondary ac
 cess probability in each state of the network so as to maximize the averag
 e long-term SU throughput by opportunistically leveraging IC\, while causi
 ng bounded average long-term PU throughput degradation and SU power expend
 iture. It is proved that the optimal policy prescribes that the SU priorit
 izes its access in the states where SUrx knows the PU message\, thus enabl
 ing IC. An algorithm is provided to optimally allocate additional secondar
 y access opportunities in the states where the PU message is unknown. Nume
 rical results are shown to assess the throughput gain provided by the prop
 osed techniques.
LOCATION: INR 113 http://plan.epfl.ch/?lang=en&room=+INR+113
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR