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We consider the downlink of a cellular wireless network where the base stations are equipped with multiple transmit antennas and operate in the same frequency band. Each base station serves one user per orthogonal frequency-division multiplexing (OFDM) sub-carrier by means of spatial precoding. Due to temporal scheduling, the active users change rapidly in time and consequently, intercell interference...
To improve link reliability and data throughput in wireless communications, it is well known that we can exploit both the spatial and the temporal domain by precoding and scheduling, respectively. For cellular networks, however, most of these gains can only be obtained when frequency resources are carefully allocated to the different base stations as otherwise, they are compromised by the presence...
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...
Both fast scheduling and spatial signal processing have proven to be capacity-increasing methods in wireless communication systems. However, when applied in the downlink of a cellular network, the combination of both leads to non- stationary intercell interference. If the base stations do not cooperate, either they have to encode the data very conservatively to gain robustness or the non-stationary...
We consider the downlink of a cellular multiple input single output (MISO) system with multiple users per cell. Fast scheduling and spatial signal processing at the base stations result in unpredictable non-stationary intercell interference when the base stations do not cooperate. We show how the per cell sum-rate can be increased when Kalman filters are employed to forecast the interference power...
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