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In this work we study optimal coding strategies for bidirectional relaying under the condition of arbitrarily varying channels. We consider a three-node network where a relay node establishes a bidirectional communication between two nodes using a spectrally efficient decode-and-forward protocol. In the first phase the two nodes transmit their messages to the relay node, which decodes them. In the...
We consider the problem of robust power control in a downlink system. The base station (BS) is equipped with an antenna array and users have single antennas. The robustness addresses the problem of imperfect channel state information (CSI) at the BS. The CSI mismatch is assumed to be Gaussian. An algorithm for robust power allocation is designed to minimize the total transmit power while simultaneously...
We study the problem of joint transmit and receive filters optimization in a frequency selective, multiple-input multiple-output setup. The information about the channel at the transmitter is imperfect and belongs to a specified uncertainty set, defined by bounding the norm of the error transfer function. The framework for a robust optimization of the system, with mean-square-error (MSE) as the performance...
It is well-known that the downlink beamforming problem of minimizing the total transmit power under users' signal-to-interference- plus-noise ratio (SINR) constraints can be reformulated as a conic quadratic optimization problem and efficiently solved, if the transmitter is provided with the perfect information about the channel. In this work, we study the robust counterpart of the latter, convex...
The downlink transmission in a single-cell wireless system is considered. The base station is equipped with an antenna array, and each user has one antenna. It is assumed that the channel state information at the base station is erroneous, with the exact channels lying in specified uncertainty regions. Linear spatial filters of all participants in the system are jointly optimized in order to minimize...
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