Optimal beam scheduling for multicasting in wireless networks
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On multicast beamforming for minimum outage
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Capacity limits of multi-antenna multicasting under correlated fading channels
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Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Secrecy rate optimization under cooperation with perfect channel state information
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A general criterion for analog Tx-Rx beamforming under OFDM transmissions
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EURASIP Journal on Wireless Communications and Networking - Special issue on interference management in wireless communication systems: theory and applications
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EURASIP Journal on Wireless Communications and Networking
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ADAM: an adaptive beamforming system for multicasting in wireless LANs
IEEE/ACM Transactions on Networking (TON)
Wireless Personal Communications: An International Journal
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This paper considers the problem of downlink transmit beamforming for wireless transmission and downstream precoding for digital subscriber wireline transmission, in the context of common information broadcasting or multicasting applications wherein channel state information (CSI) is available at the transmitter. Unlike the usual "blind" isotropic broadcasting scenario, the availability of CSI allows transmit optimization. A minimum transmission power criterion is adopted, subject to prescribed minimum received signal-to-noise ratios (SNRs) at each of the intended receivers. A related max-min SNR "fair" problem formulation is also considered subject to a transmitted power constraint. It is proven that both problems are NP-hard; however, suitable reformulation allows the successful application of semidefinite relaxation (SDR) techniques. SDR yields an approximate solution plus a bound on the optimum value of the associated cost/reward. SDR is motivated from a Lagrangian duality perspective, and its performance is assessed via pertinent simulations for the case of Rayleigh fading wireless channels. We find that SDR typically yields solutions that are within 3-4 dB of the optimum, which is often good enough in practice. In several scenarios, SDR generates exact solutions that meet the associated bound on the optimum value. This is illustrated using measured very-high-bit-rate Digital Subscriber line (VDSL) channel data, and far-field beamforming for a uniform linear transmit antenna array.