A sub-Terahertz band is envisioned to play a great role in 6G achieve extreme high data-rate communication. In addition very wide transmission, we need spatial multiplexing using hybrid MIMO system. recently presented paper, however, reveals that the number of observed multipath components few indoor environments. channel with called sparse. The layers (streams), i.e. gain system does not excee...

In this paper we discuss the design of antenna arrays to be used for multiplexing applications. particular, introduce a suitable performance index analyze effect geometry and distribution users overall Multi-User Multiple Input Output systems. By means such index, can designed so as increase number multiplexed parallel sub-channels. Numerical results show that proper could allow double contempo...

Abstract— Spatial multiplexing and diversity are in a tradeoff relationship. Multiple-input multiple-output (MIMO) can increase the maximum throughput in a good propagation environment by selecting high multiplexing order, but the achievable throughput degrades in a poor propagation environment. By adaptively selecting the multiplexing order according to the changing propagation environment, th...

An interaction in apparent motion between perceived three-dimensional forms defined by stereopsis and local luminous elements is reported. Vertical stripes of cyclopean square gratings were simulated by random-dot stereograms. Alternation of two-frame stereograms whose phases differed by 90 deg caused two kinds of percepts, planes' motion in depth (first-order stereoscopic motion, first-order S...

This paper studies link adaptation technique for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems with limited feedback. In order to utilize highly fluctuating MIMO channel efficiently and reliably, spatial mode switching between beamforming, diversity and multiplexing modes is needed. We propose mutual information effective SINR mapping (MIESM) me...

High spatial resolution soil moisture (SM) data are crucial in agricultural applications, river-basin management, and understanding hydrological processes. Merging multi-resource observations is one of the ways to improve the accuracy of high spatial resolution SM data in the heterogeneous cropland. In this paper, the Bayesian Maximum Entropy (BME) methodology is implemented to merge the follow...