Communication strategies for the MIMO interference channel
Wilson, Craig
Loading…
Permalink
https://hdl.handle.net/2142/29794
Description
Title
Communication strategies for the MIMO interference channel
Author(s)
Wilson, Craig
Issue Date
2012-02-06T20:17:33Z
Director of Research (if dissertation) or Advisor (if thesis)
Veeravalli, Venugopal V.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
wireless networks
interference channels
iterative algorithms
throughput
Abstract
Managing interference for wireless networks is crucial for meeting future demand
for higher mobile data rates. Interference can be viewed through the
interference channel (IC) in which pairs of transmitters and receivers interfere
with each other, so an interesting way to manage interference is to
develop communication strategies for the IC. We consider the problem of
designing signals to transmit over the multiple input and multiple output
(MIMO) interference channel by extending the Max SINR algorithm. The
Max SINR algorithm starts with arbitrary beamformers and then designs
optimal receivers to maximize the SINR at each receiver. The Max SINR
algorithm then alternates the direction of communication and repeats this
process. This algorithm is known to perform well, but there is no proof that
it converges. We propose a modification to Max SINR using a power control
step to make a metric similar to sum rate converge. With successive
interference cancellation (SIC), then the new metric is exactly the sum rate.
Finally, simulations show that the performance of the modified Max SINR
algorithm, unlike other convergent alternatives, is nearly identical to that of
the original Max SINR algorithm.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.