Zhang Yan-rong, Hao Li, Fan Ping-zhi. Performance of Multi-rate Single Cell CDMA Systems with Linear Successive Interference Cancellation[J]. Journal of Electronics & Information Technology, 2006, 28(5): 857-860.
Citation:
Zhang Yan-rong, Hao Li, Fan Ping-zhi. Performance of Multi-rate Single Cell CDMA Systems with Linear
Successive Interference Cancellation[J]. Journal of Electronics & Information Technology, 2006, 28(5): 857-860.
Zhang Yan-rong, Hao Li, Fan Ping-zhi. Performance of Multi-rate Single Cell CDMA Systems with Linear Successive Interference Cancellation[J]. Journal of Electronics & Information Technology, 2006, 28(5): 857-860.
Citation:
Zhang Yan-rong, Hao Li, Fan Ping-zhi. Performance of Multi-rate Single Cell CDMA Systems with Linear
Successive Interference Cancellation[J]. Journal of Electronics & Information Technology, 2006, 28(5): 857-860.
Successive Interference Cancellation (SIC) can effectively mitigate Multiple Access Interference (MAI) and improve the capacity of Direct-Sequence Code-Division Multiple Access (DS-CDMA) systems. In this paper, for the uplink of a single cell DS-CDMA system, the capacity limits of a conventional single-user detection receiver, a system with linear SIC receiver, and a system with perfect SIC are derived for an Addictive White Gaussian Noise (AWGN) channel. The results show that the linear SIC system can provide a much larger capacity compared with the conventional system in all cases. Moreover, with increasing of the number of the users in the system, the difference between the whole power of the perfect SIC and that of the linear SIC increases. So, if the perfect SIC is used to guide the power allocation, the resulting performance will be significantly worse than predicted.
Moshavi S. Multi-user detection for DS-CDMA communications. IEEE Commu. Mag., 1996, 34(10): 124.137.[2]Morrow R K. Accurate CDMA BER calculations with low computational complexity[J].IEEE Trans. on Commu.1998, 46(10):1413-[3]Buchrer R M. Equal BER performance in linear successive interference cancellation for CDMA systems[J].IEEE Trans. on Commu.2001, 49(7):1250-[4]Jalali S, Khalaj B H. Power management for multirate DS-CDMA systems with imperfect successive interference cancellation. ICC2004, Paris, France, 2004, vol.6: 3256.3260.[5]Nie H, Mathiopoulos P T. Reverse link capacity analysis forcellular cdma systems employing successive interference cancellation. ICCT2003, Beijing, China, 2003, vol.2: 770.773.[6]Manatsavee B, Ahmed K, Fernando A. Performance of PIC, SIC and de-correlating detectors for MUD technique in WCDMA system, ICICS-PCM 2003, Singapore, Singapore, 2003, vol.2: 892.896.[7]Pursley M B. Performance evaluation for phased-coded spread-spectrum multiple-access communication part I: system analysis[J].IEEE Trans. on Commu.1977, 25(8):795-[8]Berggren F, Slimane S B. Power allocation for a simple successive interference cancellation scheme in a multi-rate DS-CDMA system. ICC2002, New York, USA, 2002, vol. 1: 351.355.