Title :
Performance of parallel interference cancellation in large CDMA over a fading channel
Author :
Ghotbi, Mohsen ; Soleymani, M. Reza
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
fDate :
29 Nov.-3 Dec. 2004
Abstract :
The paper introduces an analytical tool to find the large-system performance of a multistage linear partial parallel interference cancellation (PPIC) receiver using the moments of the eigenvalues of the covariance matrix for a code division multiple access (CDMA) system over a frequency-flat fading channel. The figure of merit to evaluate the performance is the signal-to-interference-plus-noise ratio (SINR) that is calculated under a large-system condition. In this case, the number of active users and the processing gain tend towards infinity while their ratio is a fixed value. It is shown that the large-system performance is a function of the system load, the partial cancellation factor (PCF), the number of interference cancellation stages, the signal-to-noise ratio (SNR), and the received powers of the interfering users. Furthermore, for practical applications, the physical meaning of the large system is described by numerical simulations.
Keywords :
code division multiple access; covariance matrices; eigenvalues and eigenfunctions; fading channels; interference suppression; multiuser detection; radio receivers; radiofrequency interference; CDMA; SINR; SNR; active users; code division multiple access; covariance matrix eigenvalue moments; frequency-flat fading channel; multiple access interference; multistage linear partial PIC receiver; multistage linear partial parallel interference cancellation receiver; multiuser detection; partial cancellation factor; processing gain; signal-to-interference-plus-noise ratio; signal-to-noise ratio; system load; Covariance matrix; Eigenvalues and eigenfunctions; Fading; Frequency conversion; H infinity control; Interference cancellation; Multiaccess communication; Numerical simulation; Performance analysis; Signal to noise ratio;
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
DOI :
10.1109/GLOCOM.2004.1378871