Abstract
The performance of multiuser detection (MUD) algorithms for code-division multiple-access (CDMA) systems depends on the accuracy of channel estimates. Such estimates are typically affected by errors, which can lead to significant degradation of the performance. In this paper, we develop a MUD technique which is based on probability constrained optimization of the minimum mean-square error (MMSE) multiuser receiver, and is robust against channel estimation errors. Its relationship to the recently proposed robust worst case optimization based MUD technique is established. The uncertainty parameter of the worst case based design is quantified in terms of the outage probability used in the probability constrained design and second-order statistics of the channel estimation errors. Simulation results demonstrate the potential of the proposed technique to outperform the existing robust techniques. ©2008 IEEE.
Original language | English |
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Title of host publication | 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP |
Pages | 2677-2680 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2008 |
Event | 33rd IEEE International Conference on Acoustics, Speech and Signal Processing 2008 - Las Vegas, NV, USA, Las Vegas, United States Duration: 30 Mar 2008 → 4 Apr 2008 |
Conference
Conference | 33rd IEEE International Conference on Acoustics, Speech and Signal Processing 2008 |
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Abbreviated title | ICASSP 2008 |
Country/Territory | United States |
City | Las Vegas |
Period | 30/03/08 → 4/04/08 |
Keywords
- Code division multi-access
- Multiuser channels
- Optimization methods
- Robustness
- Signal detection