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Massive MIMO transmission has been attracted much attention as one of key technologies in next-generation mobile communication system, because it enables improvement in service area and interference mitigation by simple signal processing. Multi-beam massive MIMO configuration has proposed that utilizes the beam selection in analog part and blind algorithm such as constant modulus algorithm (CMA) which...
This paper proposes a collision detection scheme in asynchronous multiuser-multiple input multiple-output (MU-MIMO) transmission and self-interference cancellation. We assume that asynchronous MU-MIMO which realizes the efficient transmission and other antennas can receive preamble signals while the transmission is employed with antennas which are used in asynchronous MU-MIMO. The self-interference...
In process control, a key of acquiring desired control performance is making good use of information that is included in operation data. Direct controller adjustment methods without the knowledge of a process model, and techniques for diagnosing control performance, which is control performance monitoring / assessment (CPM / CPA) have been proposed. The present work proposes a direct control parameter...
The present work proposes a design method for a data-driven generalized minimum variance (GMV) regulatory control. The new design method derives a GMV control law directly from plant operating data generated by stochastic disturbances. Thus, it does not require a plant model and an extra plant test for identifying the plant model or tuning control parameters. A novel cost function for solving datadriven...
The paper proposes a direct control parameter tuning method which employs the variance evaluation for the performance criterion to solve the disturbance attenuation problem for the CARMA(Controlled Auto Regressive Moving Average) models. The proposed method tunes the control parameters so that the variance of the plant output approaches the minimum variance value, which can be estimated from the output...
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