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SUMMARY:Generalized Approximate Message Passing Algorithms with Applicatio
 ns to Inter-Cellular Interference Coordination 
DTSTART:20110622T161500
DTSTAMP:20260407T002714Z
UID:6820d3ec45244bcde811011e88a8181ae45d93975421077e500f6c03
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Sundeep Rangan\, Polytechnic Institute of New York Unive
 rsity\nMessage passing algorithms on graphical models have been highly suc
 cessful in inference and optimization problems in a wide range of fields. 
 This talks considers graphical models with linear mixing\, which model lar
 ge systems where the interactions between components are through aggregate
 s of small\, linearizable perturbations. For such systems\, I present a ne
 w class of estimation and optimization algorithms called generalized appro
 ximate message passing (GAMP) based on Gaussian approximations of loopy be
 lief propagation. GAMP is computationally simple and significantly more ge
 neral than earlier AMP methods. Also\, for the case of large\, random grap
 hs\, a state evolution analysis provides sharp\, easily characterizable as
 ymptotics with verifiable conditions for optimality. The potential for the
  GAMP algorithm is far reaching\, and in this talk\, I will discuss applic
 ations to inter-cellular interference coordination (ICIC) in next-generati
 on cellular wireless networks. Dynamic interference coordination has emerg
 ed as a central challenge as networks introduce femtocells and unplanned\,
  heterogeneous deployments. I will show that the GAMP method provides a tr
 actable method for distributed interference coordination that is computati
 onally simple\, has low communication overhead and can incorporate complex
  physical-layer mechanisms including beamforming\, subband frequency alloc
 ation and dynamic orthogonalization. Joint work with Ritesh Madan\, Qualco
 mm. Prof. Rangan's homepage
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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