Time|Varying MIMO Channels

A Discrete-Time Model for Triply Selective MIMO Rayleigh Fading ...

The topic of MIMO channel modeling has received great in- terest recently [5]–[12]. Frequency-selective Rayleigh fading channels were discussed ...

path-based spectral clustering for - GTAS

In this paper, we present a clustering technique for decoding fast time-varying multiple-input multiple-output (MIMO) channels. The proposed method builds ...

Behavior of a Multi-User MIMO System in Time-Varying Environments

We evaluated the behavior of a multi-user multiple-input multiple-output (MIMO) system in time-varying channels using measured data.

Massive MIMO Slow-varying Channel Estimation Using Tensor ...

In order to exploit the advantages of the massive MIMO systems, it is vital to apply the channel estimation task. The huge number of antennas at the base ...

Measurement of Time-Varying MIMO Channels and Performance ...

MIMO spatial multiplexing is a key technology to increase channel capacity. The performance depends on channels including antenna characteristics.

Space-time coding for time- and frequency-selective MIMO channels

The combined time-frequency selectivity of the underlying channel induces multipath-Doppler fading, which affects critically communication ...

A time-varying MIMO channel model: Theory and measurements

A TIME-VARYING MIMO CHANNEL MODEL: THEORY AND MEASUREMENTS. Shuangquan Wang, Ali Abdi. New Jersey Institute of Technology. Dept. of Electr. & Comput. Eng ...

Channel Estimation for mmWave Massive MIMO Based Access and ...

Step 1: Under the control of the macrocell. BS, several continuous time slots are specialized for channel estimation, where ultra-dense small-cell BSs (RRH) ...

A generalized space-time multiple-input multiple-output (MIMO ...

The spatial, temporal, and frequency dispersions of the MIMO channels are implicitly modeled based on any given statistics. Polarizations, channel transitions, ...

How Well Can We Know A MIMO Channel? 1 Introduction

Space-time channel estimation and performance analysis for wireless MIMO-OFDM systems with spatial correlation. IEEE Trans. on Vehic. Tech., 54(6):2003–2016, ...

Experimental Characterization of the Outdoor MIMO Wireless ...

Measurements in four different environments confirm the strong correlation between angular spread of multipath and MIMO channel time variability. The rate of.

Space-time Modulation and Equalization for Long-response, Time ...

The multiple-input multiple-output (MIMO) channel model, which is introduced by applying multiple antennas at the transmitter and the receiver, ...

7 MIMO I: spatial multiplexing and channel modeling

A narrowband time-invariant wireless channel with nt transmit and nr receive antennas is described by an nr by nt deterministic matrix H. What are the key.

Deep Learning-Based CSI Feedback Approach for Time-Varying ...

Massive multiple-input multiple-output (MIMO) systems rely on channel state information (CSI) feedback to perform precoding and achieve performance gain in ...

Initial characterisation or multiple-input multiple-output (MIMO ...

Dive into the research topics of 'Initial characterisation or multiple-input multiple-output (MIMO) channels for space-time communication'. Together they form a ...

Massive MIMO Channel Estimation using Signed Measurements ...

Orlik,. “On angular-domain channel estimation for one-bit massive. MIMO system with fixed and time-varying thresholds,” in 51th. Asilomar ...

Cluster-Based MIMO Channel Model Parameters Extracted from ...

This algorithm was further improved in [8], [9]. Still the issue of tracking clusters over multiple time snapshots was left open. To our knowledge this is the ...

Award # 0208763 - Space-Time Coding for Optical MIMO Channels

MIMO channel models, provided by transmit and receive antenna arrays, have attracted enormous attention for RF wireless systems in the past five years, owing to ...

Understanding Real Many-Antenna MU-MIMO Channels

Our measurement system supports full mobility with very high time-frequency resolution. We report channel traces in the. UHF, 2.4 GHz, and 5 GHz bands, in ...

Reinforcement Learning-Aided Channel Estimator in Time-Varying ...

To achieve the selection successfully, we first formulate an optimization problem to minimize the data-aided channel estimation error. However, in time-varying ...