MIMO-OFDM has become the core of future communication technologies for its great excellence, the detection algorithms are various, but only nonlinear algorithms are extensive used in practice. First, the ZF and MMSE c...
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ISBN:
(纸本)9781479913909
MIMO-OFDM has become the core of future communication technologies for its great excellence, the detection algorithms are various, but only nonlinear algorithms are extensive used in practice. First, the ZF and MMSE criteria are briefly introduced, the nonlinear detection algorithms of v-blast algorithm and QR algorithm are analyzed in detail. Then the algorithms based on ZF criterion and MMSE criterion named ZF-OSIC, MMSE-OSIC, SQRD-ZF and SQRD-MMSE are studied. Finally the BER performance of them are compared, through MATLAB simulation.
In this study, the authors consider symbol detection at the receiver of the base station for uplink massive multiple-input multiple-output (MIMO) systems over a fading channel, in which the base station uses a large n...
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In this study, the authors consider symbol detection at the receiver of the base station for uplink massive multiple-input multiple-output (MIMO) systems over a fading channel, in which the base station uses a large number of antennas to serve many users. First, the authors review the existing detection methods such as the minimum mean square error and vertical-Bell Laboratories Layered Space Time (v-blast). In addition, because the bit error rate (BER) performance of v-blast is close to that of the optimal method, the authors describe the procedures of the v-blast in detail. Then, to achieve a satisfactory trade-off between the BER performance and the computational complexity for practical implementation in massive MIMO systems, the authors propose a fast group-based symbol detection scheme. They also derive the expressions needed to select the symbol indices of a group for detection. Our simulation results and complexity analysis show that the performance of the proposed scheme is close to that of the v-blast algorithm with a significant saving in computational complexity.
An algorithm to adjust the coding/modulation (CM) scheme in a multiple-input multiple-output (MIMO) wireless communication system is proposed and analysed. The CM scheme selected for each transmitter is determined by ...
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An algorithm to adjust the coding/modulation (CM) scheme in a multiple-input multiple-output (MIMO) wireless communication system is proposed and analysed. The CM scheme selected for each transmitter is determined by a recursive procedure at the receiver, taking into account estimated signal-to-noise ratio and the properties of available CM schemes. The algorithm performance was tested with different detection algorithms: pseudo-inverse (PINv), v-blast and maximum likelihood (ML). (c) 2004 Elsevier GmbH. All rights reserved.
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