EE Seminar: Integer-Forcing for Multiterminal Communication Problems

~~Speaker:  Or Ordentlich
PhD student under the supervision of Prof. Uri Erez

Monday, June 29th, 2015  at  15:00
Room 011, Kitot Bldg., Faculty of Engineering

Integer-Forcing for Multiterminal Communication Problems

Abstract

    Integer-Forcing (IF) is a new framework, based on compute-and-forward, for decoding multiple integer linear combinations from the output of a Gaussian multiple-input multiple-output (MIMO) or multiple-access (MAC) channel. Integer-forcing is applicable when all transmitters use nested linear/lattice codes.

    Building on the IF framework, we derive new theoretical results and develop new low-complexity coding schemes for several problems.

   We begin by studying the capacity region of the Gaussian MAC under the constraint that all users transmit from a chain of nested lattice codes. Interestingly, the obtained rate-region depends on number-theoretic properties of the channel gains. Then, we apply these results in conjunction with lattice interference alignment to approximate the sum capacity of the symmetric K-user Gaussian interference channel.

    We next apply the IF approach to arrive at a new low-complexity scheme, IF source coding, for distributed lossy compression of correlated Gaussian sources under an MSE distortion measure. The performance of the proposed scheme closely follows Berger-Tung's inner bound.  Moreover, a one-shot version of IF source coding is described and analyzed.