Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSP.2013.2254480
Title: Transmit optimization with improper gaussian signaling for interference channels
Authors: Zeng, Y.
Yetis, C.M.
Gunawan, E.
Guan, Y.L.
Zhang, R. 
Keywords: Improper Gaussian signaling
interference channel
pseudo-covariance optimization
widely linear precoding
Issue Date: 2013
Citation: Zeng, Y., Yetis, C.M., Gunawan, E., Guan, Y.L., Zhang, R. (2013). Transmit optimization with improper gaussian signaling for interference channels. IEEE Transactions on Signal Processing 61 (11) : 2899-2913. ScholarBank@NUS Repository. https://doi.org/10.1109/TSP.2013.2254480
Abstract: This paper studies the achievable rates of Gaussian interference channels with additive white Gaussian noise (AWGN), when improper or circularly asymmetric complex Gaussian signaling is applied. For the Gaussian multiple-input multiple-output interference channel (MIMO-IC) with the interference treated as Gaussian noise, we show that the user's achievable rate can be expressed as a summation of the rate achievable by the conventional proper or circularly symmetric complex Gaussian signaling in terms of the users' transmit covariance matrices, and an additional term, which is a function of both the users' transmit covariance and pseudo-covariance matrices. The additional degrees of freedom in the pseudo-covariance matrix, which is conventionally set to be zero for the case of proper Gaussian signaling, provide an opportunity to further improve the achievable rates of Gaussian MIMO-ICs by employing improper Gaussian signaling. To this end, this paper proposes widely linear precoding, which efficiently maps proper information-bearing signals to improper transmitted signals at each transmitter for any given pair of transmit covariance and pseudo-covariance matrices. In particular, for the case of two-user Gaussian single-input single-output interference channel (SISO-IC), we propose a joint covariance and pseudo-covariance optimization algorithm with improper Gaussian signaling to achieve the Pareto-optimal rates. By utilizing the separable structure of the achievable rate expression, an alternative algorithm with separate covariance and pseudo-covariance optimization is also proposed, which guarantees the rate improvement over conventional proper Gaussian signaling. © 1991-2012 IEEE.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/83217
ISSN: 1053587X
DOI: 10.1109/TSP.2013.2254480
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

60
checked on Nov 14, 2018

WEB OF SCIENCETM
Citations

55
checked on Nov 14, 2018

Page view(s)

23
checked on Oct 19, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.