Output MAI distributions of linear MMSE multiuser receivers in DS-CDMA systems

被引:122
作者
Zhang, JS [1 ]
Chong, EKP
Tse, DNC
机构
[1] Arizona State Univ, Dept Elect Engn, Tempe, AZ 85287 USA
[2] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
[3] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
基金
美国国家科学基金会;
关键词
central limit theorem; martingale difference array; minimum mean-square error (MMSE) receiver; multiple-access interference (MAI); power control; random signature;
D O I
10.1109/18.915669
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Multiple-access interference (MAI) in a code-division multiple-access (CDMA) system plays an important role in performance analysis and characterization of fundamental system limits. In this paper, we study the behavior of the output MAI of the minimum mean-square error (MMSE) receiver employed in the uplink of a direct-sequence (DS)-CDMA system. We focus on imperfect power-controlled systems with random spreading, and establish that in a synchronous system 1) the output MAI of the MMSE receiver is asymptotically Gaussian, and 2) for almost every realization of the signatures and received powers, the conditional distribution of the output MAI converges weakly to the same Gaussian distribution as in the unconditional case. We also extend our study to asynchronous systems and establish the Gaussian nature of the output interference. These results indicate that in a large system the output interference is approximately Gaussian, and the performance of the MMSE receiver is robust to the randomness of the signatures and received powers. The Gaussianity justifies the use of single-user Gaussian codes for CDMA systems with Linear MMSE receivers, and implies that from the viewpoints of detection and channel capacity, signal-to-interference ratio (SIR) is the key parameter that governs the performance of the MMSE receiver in a CDMA system.
引用
收藏
页码:1128 / 1144
页数:17
相关论文
共 34 条
[1]  
[Anonymous], 1988, Real analysis
[2]  
BILLINGSLEY P., 1999, Convergence of Probability Measures, V2nd, DOI 10.1002/9780470316962
[3]  
Billingsley P., 1995, Probability and measure, VThird
[4]  
Casella G., 2021, STAT INFERENCE
[5]  
Chong E. K. P., 2013, An Introduction to Optimization
[6]  
COVER T, 1991, ELEMENTS INFORMAITON
[7]   Capacity of fading channels with channel side information [J].
Goldsmith, AJ ;
Varaiya, PP .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1997, 43 (06) :1986-1992
[8]  
Hanly S. V., 1995, Proceedings. Thirty-Third Annual Allerton Conference on Communication, Control, and Computing, P786
[9]   Power control and capacity of spread spectrum wireless networks [J].
Hanly, SV ;
Tse, DN .
AUTOMATICA, 1999, 35 (12) :1987-2012
[10]   BLIND ADAPTIVE MULTIUSER DETECTION [J].
HONIG, M ;
MADHOW, U ;
VERDU, S .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1995, 41 (04) :944-960