In the recent years, MIMO MC-CDMA techniques have been proposed in order to increase system capacity over frequency-selective wireless channels. The key feature of MIMO MC-CDMA is the capability of exploiting diversity jointly in time, frequency and space domains. In particular, Alamouti's coding scheme has been proposed as a very simple and mathematically elegant tool in order to implement space-time block coding. The main problem to be addressed is to effectively recombine diversity in order to achieve the best performances in the presence of multi-user interference. In this paper, we are proposing a low-complexity linear multi-user receiver based on the MMSE criterion supported by a Genetic-Algorithm (GA)-assisted MMSE channel estimation. Numerical results show performances very close to MMSE MUD exploiting ideal knowledge of channel state information, thus confirming the near-optimal behavior of genetic algorithms in signal detection and equalization.
MMSE Multi-User Detection with GA-assisted Channel Estimation for STBC MC-CDMA Mobile Communication Systems / D'Orazio, Leandro; Sacchi, Claudio; Donelli, Massimo; De Natale, Francesco. - ELETTRONICO. - (2008), pp. 182-187. (Intervento presentato al convegno ISSSTA 2008 tenutosi a Bologna nel 25th-28th August 2008) [10.1109/ISSSTA.2008.39].
MMSE Multi-User Detection with GA-assisted Channel Estimation for STBC MC-CDMA Mobile Communication Systems
D'Orazio, Leandro;Sacchi, Claudio;Donelli, Massimo;De Natale, Francesco
2008-01-01
Abstract
In the recent years, MIMO MC-CDMA techniques have been proposed in order to increase system capacity over frequency-selective wireless channels. The key feature of MIMO MC-CDMA is the capability of exploiting diversity jointly in time, frequency and space domains. In particular, Alamouti's coding scheme has been proposed as a very simple and mathematically elegant tool in order to implement space-time block coding. The main problem to be addressed is to effectively recombine diversity in order to achieve the best performances in the presence of multi-user interference. In this paper, we are proposing a low-complexity linear multi-user receiver based on the MMSE criterion supported by a Genetic-Algorithm (GA)-assisted MMSE channel estimation. Numerical results show performances very close to MMSE MUD exploiting ideal knowledge of channel state information, thus confirming the near-optimal behavior of genetic algorithms in signal detection and equalization.File | Dimensione | Formato | |
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