Title :
Interference alignment performanceon MIMO X channels with imperfect channel knowledge
Author :
Mahmoud, AbdulRahman ; El-Khamy, Mostafa ; Elsayed, Khaled
Author_Institution :
Electr. Eng. Dept., Alexandria Univ., Alexandria, Egypt
Abstract :
Interference alignment (IA) can achieve the optimal degrees of freedom in interference-limited wireless systems. Popular IA schemes assume perfect global knowledge of the MIMO channels at all transmitters and receivers. In this paper, we investigate the error rate performance of interference alignment in MIMO M × 2 X systems at practical signal to noise ratios. Through theoretical analysis and Monte Carlo simulations, we analyze the effect of imperfect channel estimation at the receiver and transmitter on the bit error rate performance of zero-forcing interference alignment.
Keywords :
MIMO communication; Monte Carlo methods; channel estimation; error statistics; radio receivers; radio transmitters; radiofrequency interference; wireless channels; IA schemes; MIMO X channels; Monte Carlo simulations; bit error rate performance; imperfect channel estimation; imperfect channel knowledge; interference alignment performance; interference-limited wireless systems; radio receiver; radio transmitter; zero-forcing interference alignment; Bit error rate; Interference; MIMO; Modulation; Receivers; Signal to noise ratio; Transmitters; MIMO; X-channel; channel estimation error; degrees of freedom; interference alignment; sum rate; zero-forcing;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on
Conference_Location :
Cesme
Print_ISBN :
978-1-4673-0970-7
DOI :
10.1109/SPAWC.2012.6292901
