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In this contribution we propose two new designs of transmit and receive processing for multi-user multiple-input-multiple-output (MIMO) downlink systems that employ filter bank based multicarrier with offset quadrature amplitude modulation (FBMC/OQAM). Our goal is to overcome the limits on the channel frequency selectivity and/or the allowed number of receive antennas per user terminal that are imposed...
The available <bold>channel state information</bold> (CSI) in a limited feedback system like the <bold>frequency division duplex</bold> (FDD) downlink is not perfect since it is subject to estimation, quantization and feedback errors, and in addition, can be outdated. Despite the fact that the capacity of limited feedback systems is unknown in general, we derive a novel lower...
In a frequency division duplex system with a base station equipped with multiple antennas, the base station relies on feedback of the channel state information of the users in order to perform user selection and transmit beamforming in the downlink. Nonetheless, it is usually assumed that the feedback link is noise-free, i.e. the base station has access to error-free feedback. In practice, however,...
Based on maximizing the sum of lower bounds derived for the uplink (UL) and the downlink (DL) rates with imperfect Channel State Information (CSI), overhead optimization i.e. finding the optimum lengths of the UL and DL pilots and feedback bits, is performed. Estimated CSI and quantized Channel Direction Information (CDI), which may be received erroneously, are available at the Base Station (BS) for...
Multiple transmit antennas can be employed in a downlink channel to serve multiple users under the assumption of perfect channel state information (CSI) of all users at the base station. In practice, however, the channel knowledge available at the base station is not perfect. For instance, in case of a time division duplex (TDD) system, the transmit CSI is the estimated uplink channel. On the other...
We present two iterative algorithms that jointly optimize the transmit and receive filters with respect to the mean square error (MSE) in the downlink of a cellular multi-user multiple input single output (MISO) system for linear precoding. One algorithm is gradient-based and allows for cooperation among base stations, the second algorithm does not allow for cooperation between base stations and regards...
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