Antenna selection for multiple-input multiple-output systems based on deep convolutional neural networks

A Multiband Multiple-input Multiple-output Antenna System for Long Term Evolution and Wireless Local Area Networks Handsets

A novel multiband multiple-input-multiple-output (MIMO) antenna system is proposed. The MIMO antenna system consists of two antenna elements, each of which comprises of three radiators: a driven monopole, an S-shaped strip and an inverted F-shaped strip and occupies footprint of 15x18.5x0.8 mm3 only. The driven monopole acts as a quarter-wave monopole and stimulate higher mode resonance. The tw...

Multiple-input multiple-output cross-layer antenna selection and beamforming for cognitive networks

Beamforming techniques can be used to suppress co-channel interference in radio devices. In a cognitive setting, beamforming can be beneficial as it can be applied to cancel interference among co-located primary users and cognitive users. In this study, the authors propose an antenna selection algorithm combined with zero-forcing beamforming to improve the throughput of cognitive multiple-input...

Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection

Adaptive Space-Time Equalisation for Multiple-Antenna Assisted Multiple-Input Multiple-Output Systems

This paper investigates an adaptive space-time equalisation (STE) assisted multiuser detection scheme for multiple-antenna aided multiuser systems. A minimum bit error rate (MBER) design is compared with the standard minimum mean square error (MMSE) design. It is shown that the MBER design provides significant performance enhancement, in terms of achievable system bit error rate, over the MMSE ...

An Adaptive Control Algorithm for Multiple-Input Multiple-Output Systems Using Neural Networks

Many industrial processes have multiple inputs and outputs. Such systems are known by the acronym MIMO. In order to properly control such processes some linear techniques like multivariable control, robust control, etc., have been used [1]-[3]. These techniques require a known model of the controlled process. However, many industrial processes are poorly known and nonlinear. Therefore, a techni...