TY - GEN

T1 - Is Gaussian noise the worst-case additive noise in wireless networks?

AU - Shomorony, Ilan

AU - Avestimehr, A. Salman

PY - 2012

Y1 - 2012

N2 - An important classical result in Information Theory states that the Gaussian noise is the worst-case additive noise in point-to-point channels. In this paper, we significantly generalize this result and show that, under very mild assumptions, Gaussian noise is also the worst-case additive noise in general wireless networks with additive noises that are independent from the transmit signals. More specifically, we prove that, given a coding scheme with finite reading precision for an AWGN network, one can build a coding scheme that achieves the same rates on an additive noise wireless network with the same topology, where the noise terms may have any distribution with same mean and variance as in the AWGN network.

AB - An important classical result in Information Theory states that the Gaussian noise is the worst-case additive noise in point-to-point channels. In this paper, we significantly generalize this result and show that, under very mild assumptions, Gaussian noise is also the worst-case additive noise in general wireless networks with additive noises that are independent from the transmit signals. More specifically, we prove that, given a coding scheme with finite reading precision for an AWGN network, one can build a coding scheme that achieves the same rates on an additive noise wireless network with the same topology, where the noise terms may have any distribution with same mean and variance as in the AWGN network.

UR - http://www.scopus.com/inward/record.url?scp=84867544953&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867544953&partnerID=8YFLogxK

U2 - 10.1109/ISIT.2012.6283743

DO - 10.1109/ISIT.2012.6283743

M3 - Conference contribution

AN - SCOPUS:84867544953

SN - 9781467325790

T3 - IEEE International Symposium on Information Theory - Proceedings

SP - 214

EP - 218

BT - 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012

T2 - 2012 IEEE International Symposium on Information Theory, ISIT 2012

Y2 - 1 July 2012 through 6 July 2012

ER -