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Multiple Input Multiple Output (MIMO) sensor, which is utilized for intruder detection by channel state information (CSI) in MIMO propagation channel, has been proposed. We have focused on wide range human detection in indoor scenario by applying array antenna with wide element spacing in the horizontal place at transmit and receive antennas. On the other hand, human detection with limited range such...
This paper proposes an inter-symbol interference (ISI) suppression scheme employing periodic signals for network MIMO-OFDM systems. Network MIMO-OFDM suffers from the ISI due to long time difference of arrival (TDOA) among the users especially in large cells. In the proposed scheme, the periodic signals generated by only the even-numbered sub-carriers is adopted for suppressing the ISI and the appropriate...
This paper presents a method to emulate three-dimension (3D) channel spatial characteristics which is based on genetic algorithm in a MIMO OTA setup. The proposed method applies genetic algorithm to 3D channel reconstruction, which controls the search process to obtain the global optimal solution adaptively. Simulation results show that genetic method gives higher reconstruction accuracy than convex...
This paper presents a simple compact square patch dual band Multiple Input Multiple Output (MIMO) antenna for wireless terminal devices. The antenna designed to operate in the frequency bands of 1.78–2.74 GHz and 3.33–6.06 GHz that covers LTE, Bluetooth, WiMAX and WLAN applications. The antenna consists of two concentric square ring slots etched on the corner truncated square patch monopole radiator...
Signal estimation and its performance has always remained a challenge for wireless communication society. New techniques were developed for channel diversity and spectrum utilization. In this paper a new estimation approach based on Kalman state stabilization is proposed min-max, to achieve the objective of higher performance in MIMO system, using time variant interference modeling. A generic approach...
The need for high data rate is growing since the multimedia applications are gaining popularity which needs high data rate and quality of service. Multiple Input Multiple Output (MIMO) transmission system is one of the most promising approach of the Smart Antenna Technology which uses multiple antennas in the transmitter and the receiver side and is currently followed for high-rate wireless communication[1]...
In this paper the impact of exponential correlation model on massive multiple input multiple output (MIMO) channel estimation is analyzed using a large number of antennas in the base station (BS) and a user terminal. We consider pilot-based channel estimation in the UL channel. The Linear minimum mean square error (LMMSE) estimator is used to investigate the effect of correlation factor on the average...
A low-density spatial downlink reference signal (LDS-RS) design is proposed for frequency-division duplex (FDD) massive full-dimensional multiple-input multiple-output (FD-MIMO) systems. By exploiting the spatial correlation between the channels of different antennas, this scheme can efficiently reduce the downlink RS overhead and therefore enhances the achievable spectral efficiency significantly...
In this paper, we studied the massive multiple-input multiple-output (MIMO) system performance with N antenna users and streams can be multiplexed per each user. The spectral efficiency (SE) of uplink and downlink expressions is derived for any N antenna users and these achievable using estimated channels and per user basis minimum mean squared error successive interference cancellation (MMSE-SIC)...
We characterize third-dimension (3D) of channel measurements based on two dimension channel model with fully-synchronize propagation of first time LTE-A multi-user centralized multiple-input, multiple-output(MU-MIMO) with sixteen transmitter antennas and three users. By exploiting the spatial correlation of signals originating from neighboring receiving antennas, there is a need for an accurate and...
In this paper, we propose a cyclostationary noise model for multi-input multi-output (MIMO) narrowband power line communication (NB-PLC) based on frequency-shift (FRESH) filtering. The MIMO FRESH filters are designed to shape a multi-input white noise spectrum to a muti-output cyclic spectrum extracted from experimental noise measurements of three-phase low-voltage power lines. The noise modeling...
Elevation beamforming and Full Dimension MIMO (FD-MIMO) are currently active areas of research and standardization in 3GPP LTE-Advanced. FD-MIMO utilizes an active antenna array system (AAS), that provides the ability of adaptive electronic beam control over the elevation dimension, resulting in a better system performance as compared to the conventional 2D MIMO systems. FD-MIMO is more advantageous...
In this paper, we consider a T \times R massive MIMO system with up to R simultaneous links (T>> R>>1) and nonlinear amplifiers in each transmitter branch. The impact of a nonlinear amplification is analytically studied and accurate expressions for the spectral characterization of the transmitted signals, as well as the bit-error-rate (BER) are derived. The accuracy...
In this paper, a novel impulsive noise (IN) cancel- lation scheme based on structured compressed sensing (SCS) for multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) power line communication systems is proposed. The SCS theory is introduced to IN recovery for the first time in this paper to the best of the authors' knowledge, and the gap of lack of research on the...
Channel state information (CSI) is usually necessary for downlink precoding, power allocation, etc. in multiple-input multiple-output (MIMO) systems. When the base stations (BS) are equipped with massive elements, the training overhead required by conventional CSI estimation methods becomes overwhelming, leading to unacceptable loss of spectrum efficiency. In this paper, we investigate pilot design...
With Massive MIMO installed on High Altitude Platforms (HAPs), capacity analysis is conducted for both sparse users and hotspot users. Sparse users are assumed to follow the Poisson Point Process and their capacities are obtained via the random geometry theorem. For hotspot users, Massive MIMO combined with HAP-based communication is shown to be able to achieve the multiplexing gain thus increase...
In this paper, we investigate the low-overhead feedback for statistical channel information in massive multiple-input multiple-output (MIMO) systems. As a promising technique for next generation cellular networks, massive MIMO has gained a lot of attention due to its ability to significantly improve the network performance. To reduce the feedback overhead in frequency division duplex systems, cascaded...
Channel estimation is a major overhead factor in large-scale multiple-input multiple-output \mbox{(MIMO)} systems, especially under the high- speed railway scenarios. This paper proposes a position-aided channel estimation scheme for high- speed railway communication systems, where both the transmitter and the receiver are equipped with large-scale antenna linear arrays. By joint spatio- temporal...
In this paper, we investigate the channel correlation problem which affects the performance of indoor multiple-input multiple-output (MIMO) visible light communication (VLC) systems. More specifically, in order to reduce the high correlation of channel matrix in MIMO-VLC intensity channel, we propose a non-imaging receiver called angle-aided mirror diversity receiver (AMDR) which utilizes not only...
The evolving 5G standards promise green communications with enhanced data services and significant link reliability. Massive multi input multi output (MIMO) techniques are the driving force behind green communications, since they provide better energy efficiency with reduced transmit power. The massive data generated from such mobile communication systems, is a rich data source of great value. Procuring...
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