Miguel Angel Lagunas

TL;DR: This paper addresses the joint design of transmit and receive beamforming or linear processing for multicarrier multiple-input multiple-output (MIMO) channels under a variety of design criteria by developing a unified framework based on considering two families of objective functions that embrace most reasonable criteria to design a communication system.

TL;DR: This paper considers a wireless communication system with multiple transmit and receive antennas, i.e., a multiple-input-multiple-output (MIMO) channel, to design the transmitter according to an imperfect channel estimate, where the errors are explicitly taken into account to obtain a robust design under the maximin or worst case philosophy.

TL;DR: A practical and efficient multilevel water-filling algorithm is proposed to optimally solve the vector communications through multiple-input multiple-output (MIMO) channels with a set of quality of service (QoS) requirements for the simultaneously established substreams.

TL;DR: The authors derive a deterministic expression that describes the asymptotic signal-to-noise-plus-interference ratio (SINR) at the output of the diagonally loaded beamformer and derive an estimator of the optimum loading factor that is consistent when both the number of antennas and the sample size increase without bound at the same rate.

TL;DR: This paper considers the case in which not even the channel statistics are available, obtaining a robust solution under channel uncertainty by formulating the problem within a game-theoretic framework and obtaining a uniform power allocation.