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SUMMARY:Learning to exploit diversity in wireless systems 
DTSTART:20090622T141500
DTSTAMP:20260501T134127Z
UID:9874bdbbf52dc64528b34ebbee073694fc04f11a30de07cc1b416f80
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Alexandre Proutière\, Microsoft Lab\, Cambridge\, UK\nOppo
 rtunistic scheduling is a key mechanism for improving the performance of w
 ireless systems. However\, this mechanism requires that transmitters are a
 ware of channel conditions (or CSI\, Channel State Information) to the var
 ious possible receivers. CSI is not automatically available at the transmi
 tters\, rather it has to be acquired. Acquiring CSI consumes resources\, a
 nd only the remaining resources can be used for actual data transmissions.
  We explore the resulting trade-off between acquiring CSI and exploiting c
 hannel diversity to the various receivers. Specifically\, we consider a sy
 stem consisting of a transmitter and a fixed number of receivers. We first
  analyze the case where the transmitter cannot adapt its transmission powe
 r\, and then extend the analysis to allow for power control. We provide an
  optimal probing / transmission strategy in both saturated and buffered sc
 enarios. In the former case\, the transmitter always have packets to send\
 , and in the latter case\, an infinite buffer is associated to each receiv
 er\, and packets arrive in this buffer according to some stochastic proces
 s with fixed intensity. The proposed strategies may be used in a wide clas
 s of wireless systems with limited information\, such as broadcast systems
  without a priori knowledge of the CSIs. But it can be also used to solve 
 dynamic spectrum access problems such as those arising in cognitive radio 
 systems\, where secondary users can access large parts of the spectrum\, b
 ut have to discover which portions of the spectrum offer more favorable ra
 dio conditions or less interference from primary users. \nDr Proutière's 
 homepage
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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