Filter bank based multicarrier (FBMC) systems present an alternative solution to cyclic prefix based orthogonal frequency division multiplexing (CP-OFDM) in wireless environments with multipath propagation. In this co...
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Common transmit processing concepts are either based on complete, partial, or no channel state information (CSI). But the quality of CSI is crucial for a fair comparison. Therefore, we derive an explicit expression of...
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In a Filter Bank based Multicarrier (FBMC) system employed in a highly frequency selective propagation channel each subchannel experiences a multi-tap impulse response (IR). In this contribution we present an efficien...
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We report on our investigation of the capacity region of a Gaussian multiple access channel with two independent transmitters for the case where the receiver's antenna spacing is very small (compared to the wavele...
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We propose a novel linear minimum-mean-squared-error (MMSE) precoder design for a downlink (DL) massive multiple-input-multiple-output (MIMO) scenario. For economical and computational efficiency reasons low resolutio...
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In the downlink of a cellular network with channel state information on a limited number of interference channels, the intercell interference (ICI) variance at a mobile device can change unpredictably. This ICI blindn...
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We consider the network sum rate maximization in the downlink of a cellular system based on the spatial channel model of the 3GPP MIMO urban macro cell with multiple antenna base stations and single antenna mobile dev...
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OFDM systems suffer from high out-of-band radiation. Consequently, they require methods reducing those spectral out-of-band components. Because of adjustable frequency confinement, filter bank based multicarrier syste...
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The performance of algorithms for preprocessing the signal at the transmitter in mobile communications is severely limited by the amount of available channel state information (CSI). The channel can be modeled as rand...
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ISBN:
(纸本)1604238216
The performance of algorithms for preprocessing the signal at the transmitter in mobile communications is severely limited by the amount of available channel state information (CSI). The channel can be modeled as random variable conditioned on a delayed and noisy observation of the channel realization. We introduce novel criteria for linear precoding based on an MMSE criterion, which is stochastic due to the transmitter's channel model. Moreover, employing an estimation theoretic perspective, a new model for the receivers' processing is incorporated into the optimization. We show that the transmitter's partial CSI can is exploited efficiently by this design method and leads to combined linear precoding and channel estimation, which contains the categories of complete and statistical CSI as asymptotic cases.
Tomlinson-Harashima Precoding (THP) for a wireless system with multiple cooperative transmitters and non-cooperative receivers is considered (downlink channel). In the literature THP has been optimized for this channe...
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