Abstract
For practical wireless DS-CDMA systems, channel estimation is imperfect due to noise and interference. In this paper, the impact of channel estimation errors on multiuser detection (MUD) is analyzed under the framework of the replica method. System performance is obtained in the large system limit for optimal MUD, linear MUD, and turbo MUD, and is validated by numerical results for finite systems.
Highlights
Multiuser detection (MUD) [1] can be used to mitigate multiple access interference (MAI) in direct-sequence code division multiple access (DS-CDMA) systems, thereby substantially improving the system performance compared with the conventional matched filter (MF) reception
On comparing (43) and (48), an immediate conclusion is that the C-individually optimal (IO) MUD is more susceptible to the error incurred by minimum mean square error (MMSE) channel estimation than that incurred by maximum likelihood (ML) channel estimation, when ∆2h is identical for both estimators
This figure shows that D-IO MUD is more susceptible to the error of MMSE channel estimation than that of ML estimation
Summary
Multiuser detection (MUD) [1] can be used to mitigate multiple access interference (MAI) in direct-sequence code division multiple access (DS-CDMA) systems, thereby substantially improving the system performance compared with the conventional matched filter (MF) reception. EURASIP Journal on Wireless Communications and Networking theory, has been applied as a unified framework to both optimal and linear MUD, resulting in explicit asymptotic expressions for the corresponding bit error rates and spectral efficiencies. These results have been extended to turbo MUD in [12]. We will apply the replica method to analyze the corresponding impact on optimal MUD, and extend the results to linear or turbo MUD, under some assumptions on the channel estimation error.
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