Zero-Forcing and Minimum Mean-Square Error Multiuser Detection in Generalized Multicarrier DS-CDMA Systems for Cognitive Radio


Yang, Lie-Liang and Wang, Li-Chun (2008) Zero-Forcing and Minimum Mean-Square Error Multiuser Detection in Generalized Multicarrier DS-CDMA Systems for Cognitive Radio. EURASIP Journal on Wireless Communications and Networking, 2008

Download

Full text not available from this repository.

Description/Abstract

In wireless communications multicarrier direct-sequence code-division multiple-access (MC DS-CDMA) constitutes one of the highly flexible multiple-access schemes. MC DS-CDMA employs a high number of degrees-of-freedom, which are beneficial to design and reconfiguration for communications in dynamic communications environments, such as in the cognitive radios. In this contribution we consider the multiuser detection (MUD) in MC DS-CDMA, which motivates low-complexity, high-flexibility and robustness so that the MUD schemes are suitable for deployment in dynamic communications environments. Specifically, a range of low-complexity MUDs are derived based on the zero-forcing (ZF), minimum mean-square error (MMSE) and interference cancellation (IC) principles. The bit-error-rate (BER) performance of the MC DS-CDMA aided by the proposed MUDs is investigated by simulation approaches. Our study shows that, in addition to the advantages provided by a general ZF, MMSE or IC-assisted MUD, the proposed MUD schemes can be implemented using modular structures, where most modules are independent of each other. Due to the independent modular structure, in the proposed MUDs one module may be reconfigured without yielding impact on the others. Therefore, the MC DS-CDMA in conjunction with the proposed MUDs constitutes one of the promising multiple-access schemes for communications in the dynamic communications environments such as in the cognitive radios.

Item Type: Article
Keywords: Multicarrier, code-division multiple-access, multiuser detection, cognitive radio, software defined radio, zero-forcing, minimum mean-square error, interference cancellation.
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 264871
Date Deposited: 19 Nov 2007 11:32
Last Modified: 27 Mar 2014 20:09
Further Information:Google Scholar
ISI Citation Count:9
URI: http://eprints.soton.ac.uk/id/eprint/264871

Actions (login required)

View Item View Item