On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm
IEEE Transactions on Signal Processing - Part I
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints
IEEE Transactions on Wireless Communications
Capacity Maximization for Zero-Forcing MIMO-OFDMA Downlink Systems with Multiuser Diversity
IEEE Transactions on Wireless Communications
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
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The problem of user selection and resource allocation for the downlink of wireless systems operating over a frequency-selective channel is investigated. It is assumed that the Base Station (BS) uses many antennas, whereas a single antenna is available to each user. A suboptimal, but efficient algorithm is devised that is based on Zero Forcing (ZF) beamforming and on spatial correlation. The algorithm maximizes the sum of the users' data rates subject to constraints on total available power and proportional fairness among users' data rates. The main feature of it is the proportionality among users' data rates which is guaranteed as it is shown by simulations.