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In this paper, we study the channel-aware minimum-latency broadcast scheduling problem using the probabilistic model. We establish an explicit relationship between the tolerated transmission-failure probability and the latency of the corresponding broadcast schedule. Such a tolerated transmission-failure probability is calculated in the strict sense that the failure to receive the message at any single...
We consider a MIMO broadcast channel where both the transmitter and receivers are equipped with multiple antennas. Channel state information at the transmitter (CSIT) is obtained through limited (i.e., finite-bandwidth) feedback from the receivers that index a set of precoding vectors contained in a predefined codebook. We propose a novel transceiver architecture based on zero-forcing beamforming...
We consider the problem of designing the vector quantizer for a multiuser eigenmode transmission applied to a MIMO broadcast channel with limited feedback. We propose a hierarchical vector quantization method based on the idea that the CDI can be refined by permitting multiple feedback steps between receivers and transmitter. At each new quantization level a new codebook is built based on the codebook...
We consider the problem of communicating in a MIMO broadcast channel (a point-to-multipoint system where both the transmitter and receivers employ multiple antennas) where the transmitter has imperfect knowledge of the MIMO channels due to limited feedback from the receivers. Our proposal is based on a low-complexity technique known as multiuser eigenmode transmission (MET) which has been shown to...
We consider the MIMO broadcast channel (MIMO-BC) where an array equipped with M antennas transmits distinct information to K users, each equipped with N antennas. We propose a linear precoding technique, called multiuser eigenmode transmission (MET), based on the block diagonalization precoding technique. MET addresses the shortcomings of previous ZF-based beamformers by transmitting to each user...
We consider the MIMO broadcast channel where a base station with multiple antennas transmits simultaneously to many users. The optimum strategy with channel state information (CSI) at the transmitter is based on dirty paper coding (DPC) principles. In this paper, we propose a suboptimum strategy suitable when terminals are equipped with multiple antennas. This approach combines DPC and receive beamforming...
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