Traffic-Aided Multiuser Detection for

Traffic burstiness has been observed for multimedia packet switching networks. This burstiness results in the pre- dictability of user activity at the individual source level, and the exploitation of such predictability in the receiver design for a random-access CDMA packet switching network is investigated in this paper. Decorrelating detector is considered for performance and complexity tradeoff and it is shown that the conventional approach of assuming all users are active results in substantial performance loss. A two-stage multiuser detection is proposed where the first stage tracks active users and feeds its tracking output to the second stage multiuser detector for symbol detection. It is demonstrated that by using the traffic predictability, accurate estimate of active set of users is possible with a simple matched filterbank at the first stage.

[1]  N. Abramson,et al.  Multiple access in wireless digital networks , 1994, Proc. IEEE.

[2]  Roy L. Streit,et al.  Frequency line tracking using hidden Markov models , 1990, IEEE Trans. Acoust. Speech Signal Process..

[3]  Lang Tong,et al.  Traffic modeling and tracking for multiuser detection for random access networks , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[4]  Dipankar Raychaudhuri,et al.  Performance Analysis of Random Access Packet-Switched Code Division Multiple Access Systems , 1981, IEEE Trans. Commun..

[5]  Maïté Brandt-Pearce,et al.  New-user identification in a CDMA system , 1998, IEEE Trans. Commun..

[6]  Robert G. Gallager,et al.  Basic limits on protocol information in data communication networks , 1976, IEEE Trans. Inf. Theory.

[7]  B. Melamed,et al.  Traffic modeling for telecommunications networks , 1994, IEEE Communications Magazine.

[8]  E. Lehmann.  Testing Statistical Hypotheses , 1960 .

[9]  Greg Minshall,et al.  Ip Switching: Atm under Ip * , 1998 .

[10]  Urbashi Mitra,et al.  Adaptive decorrelating detectors for CDMA systems , 1995, Wirel. Pers. Commun..

[11]  Zhen Zhang,et al.  Channel utilization efficiency and throughput of random-access multichannel CDMA systems with multiuser detection , 1996, Proceedings of MILCOM '96 IEEE Military Communications Conference.

[12]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[13]  Predrag B. Rapajic.  Performance Analysis of Slotted ALOHA/CDMA System with Adaptive MMSE Receivers (Special Section on Spread Spectrum Techniques and Applications) , 1997 .

[14]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[15]  Kwang-Cheng Chen,et al.  Identification of active users in synchronous CDMA multiuser detection , 1998, IEEE J. Sel. Areas Commun..

[16]  Walter Willinger,et al.  On the self-similar nature of Ethernet traffic , 1993, SIGCOMM '93.

[17]  Audrey M. Viterbi,et al.  Approximate Analysis of Time-Synchronous Packet Networks , 1986, IEEE J. Sel. Areas Commun..

[18]  Yaakov Bar-Shalom,et al.  Estimation and Tracking: Principles, Techniques, and Software , 1993 .

[19]  M. J. Juntti.  Linear multiuser detector update in synchronous dynamic CDMA systems , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.