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We evaluate the performance of beamforming in the downlink of a Single Frequency Network (SFN), in which common data is transmitted to all participating users simultaneously. The beamforming is jointly optimized for all cells in the network and for all users. The algorithm is based on spatio-temporal correlation knowledge (long term channel state information at the transmitter) and regularly updated,...
We evaluate the benefit of beamforming for broadcast/multicast transmission using single frequency networks (SFNs), where the beamforming weights are jointly optimized for the base stations participating in the SFN transmission. The aim is to reduce the total transmission power under the constraint of the provision of a certain mean SNR to all users. In order to keep the number of base stations to...
In FDD systems, uplink spatio-temporal correlation knowledge can be obtained via uplink measurements and time-averaging. Many algorithms however require the knowledge of the downlink correlation, such as base-station transmit beam-forming in the case of spatial correlation and user SNR prediction algorithms in the case of temporal correlation. This paper presents two possible algorithms for the conversion...
In FDD systems, uplink spatio-temporal correlation knowledge can be obtained via uplink measurements and time- averaging. Many algorithms however require the knowledge of the downlink correlation, such as transmit beamforming in the case of spatial correlation and user SNR prediction algorithms in the case of temporal correlation. This paper shows a way to convert the uplink spatio-temporal correlation...
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