DocumentCode :
2091918
Title :
Improper Gaussian signaling for the K-user SISO interference channel
Author :
Yong Zeng ; Yetis, Cenk M. ; Gunawan, Erry ; Yong Liang Guan ; Rui Zhang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
5219
Lastpage :
5223
Abstract :
This paper studies the transmit optimization for the K-user Gaussian single-input single-output interference channel (SISO-IC), with the interference treated as Gaussian noise and by applying improper or circularly asymmetric complex Gaussian signaling. The transmit optimization with improper Gaussian signaling involves not only the signal covariance as in the conventional proper or circularly symmetric complex Gaussian signaling, but also the signal pseudo-covariance, which is conventionally set to zero in proper Gaussian signaling. By utilizing the rate-profile method, the achievable rate region of the K-user SISO-IC is characterized by solving a sequence of minimum-weighted-rate maximization (MinWR-Max) problems, which are non-convex and thus difficult to be solved globally optimally. By applying the semidefinite relaxation (SDR) technique, we propose an efficient approximate solution, which jointly optimizes the covariance and pseudo-covariance of the transmitted signals. Simulation results demonstrate the effectiveness of the proposed algorithm for the K-user SISO-IC with improper Gaussian signaling.
Keywords :
Gaussian noise; MIMO communication; concave programming; radiofrequency interference; wireless channels; Gaussian noise; K-user Gaussian single-input single-output interference channel; K-user SISO-IC; MinWR-Max problem; SDR technique; circularly symmetric complex Gaussian signaling; minimum-weighted-rate maximization problem; pseudocovariance signal; semidefinite relaxation technique; signal covariance; Interference channels; Optimization; Receivers; Signal to noise ratio; Transmitters; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6655414
Filename :
6655414
Link To Document :
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