Theoretical investigation of multiple input–multiple output (MIMO) technique for line of sight (LoS) underwater wireless optical communications system

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Mustafa B. AL-Deen ◽  
Mazin Ali A. Ali ◽  
Zeyad A. Saleh
Keyword(s):  
Theoretical Investigation ◽  
Coastal Water ◽  
Multiple Input Multiple Output ◽  
Data Rate ◽  
The Other ◽  
Maximum Distance ◽  
Water Types ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Modulation Schemes

Abstract In this paper, a theoretical investigation was suggested to study underwater wireless optical communication (UWOC) system based on multiple input–multiple output (MIMO) technique. The modulation schemes such as RZ-OOK, NRZ-OOK, 32-PPM and 4-QAM applied under different coastal water types. MIMO technique enabled the system to transmit data rate with longer distance link. The performance of the proposed system examined by BER and data rate as a metrics. Several impairments such as the types of water by the attenuation of coastal water and the distance link were taken into account for the transmission of the optical signal to appreciate the reliability of the MIMO technique. The theoretical analysis shows the proposed of MIMO (4Tx/4Rx) technique get the better performance compared with the other techniques in terms of BER. When 32-PPM is applied as a modulation scheme. For the system with MIMO technique the maximum distance link arrive to 14.9 and 2.9 m for coastal water types JIC and J9C, respectively. While SISO (1Tx/1Rx) technique achieved the maximum distance link are 10 and 2.3 m for coastal water types JIC and J9C, respectively. Therefore, 32-PPM can outperform the other modulation schemes and consider the suitable option for obtaining a low BER with the best maximum distance link for LoS of MIMO technique.

Analyzing of UVLC system considering the effect of water depth

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Mustafa B. Al-Deen ◽  
Mazin Ali A. Ali ◽  
Zeyad A. Saleh
Keyword(s):  
Coastal Water ◽  
Water Depth ◽  
Bit Error Rate ◽  
Multiple Input Multiple Output ◽  
Visible Light Communications ◽  
New Approach ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Depth Water

Abstract This paper presents a new approach to discover the effect of depth water for underwater visible light communications (UVLC). The quality of the optical link was investigated with varying water depth under coastal water types. The performance of the UVLC with multiple input–multiple output (MIMO) techniques was examined in terms of bit error rate (BER) and data rate. The theoretical result explains that there is a good performance for UVLC system under coastal water.

scholarly journals Joint Source and Relay Beamforming Design in Wireless Multi-Hop Sensor Networks with SWIPT

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 182 ◽  
Author(s):  
Xiaoqing Liu ◽  
Zhigang Wen ◽  
Dan Liu ◽  
Junwei Zou ◽  
Shan Li
Keyword(s):  
Energy Harvesting ◽  
Multiple Input Multiple Output ◽  
The Other ◽  
Achievable Rate ◽  
Power Splitting ◽  
Amplify And Forward ◽  
Time Switching ◽  
Multiple Input ◽  
Convex Problem ◽  
Input Multiple Output

We consider a multiple-input multiple-output amplify-and-forward wireless multiple-hop sensor network (WMSN). The simultaneous wireless information and power transfer technology is deployed to potentially achieve an autonomous system. We investigate two practical receiver schemes, which are the power splitting (PS) and the time switching (TS). The power splitting receiver splits received signals into two streams, one for information decoding (ID) and the other for energy harvesting (EH). On the other hand, the time switching receiver only serves in ID mode or energy harvesting mode during a certain time slot. Subject to transmit power constraints and destination harvested energy constraint, we aim to obtain a joint beam-forming solution of source and relay precoders to maximize the maximum achievable rate of the WSN. In order to make the non-convex problem tractable, diagonalization-based alternating optimization algorithms are proposed. Numerical results show the convergence and good performance of the proposed algorithms under both PS and TS protocols.

scholarly journals Performance analysis of massive multiple input multiple output for high speed railway

2021 ◽  
Vol 11 (6) ◽  
pp. 5180
Author(s):  
Maharshi K. Bhatt ◽  
Bhavin S. Sedani ◽  
Komal Borisagar
Keyword(s):  
Wireless Communication ◽  
Massive Mimo ◽  
High Speed ◽  
Communication Channel ◽  
Multiple Input Multiple Output ◽  
High Mobility ◽  
Data Rate ◽  
High Speed Train ◽  
Multiple Input ◽  
Input Multiple Output

This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.

scholarly journals Deep double-pilot-based hybrid precoding in UAV-enabled mmWave massive MIMO

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Ziyao Hong ◽  
Ting Li ◽  
Fei Li
Keyword(s):  
Deep Learning ◽  
Communication System ◽  
Massive Mimo ◽  
Multiple Input Multiple Output ◽  
The Other ◽  
Time Varying ◽  
Hybrid Precoding ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Aerial Vehicle

Abstract Unmanned aerial vehicle (UAV)-enabled communication system provides flexibility and reliability compared to conventional ones. Millimeter wave (mmWave) and massive multiple-input–multiple-output (MIMO) have widely been researched since recent years, which are promising techniques for the next and even the later generation communication system. Hybrid precoding, as a method to reduce the high cost in hardware and power brought by massive antenna array, develops fiercely and is often combined to deep learning, a kind of popular optimization tool, which brings an overwhelming performance. On the other hand, there are not so many attentions about the hybrid precoding in time-varying mmWave massive MIMO, which is necessary to be considered in a UAV-enabled communication scenario because the performance will degrade seriously if the channel changed while the transmitter and receiver use the precoding matrix corresponding to the expired channel, yet. In this paper, we propose a double-pilot-based hybrid precoding system, which completes analog precoding and digital precoding separately—predicting the previous one using deep learning structure and updating equivalent channel frequently for the post one by enhancing the frequency of equivalent channel estimation.

Joint Source and Relay Optimization of Multiuser MIMO Relay System

2012 ◽  
Vol 249-250 ◽  
pp. 1201-1204
Author(s):  
Fang Ni Chen ◽  
Zhong Peng Wang
Keyword(s):  
System Performance ◽  
Multiple Input Multiple Output ◽  
The Other ◽  
Mean Square ◽  
Multiuser Mimo ◽  
Relay System ◽  
Precoding Matrix ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results

In this paper, we design the source precoding matrix and the relay amplifying matrix of a multiuser multiple-input multiple-output (MIMO) non-regenerative relay system. Different from the other algorithms, we first introduce a new model with new unknown but to be designed variables. Then we proposed an iterative algorithm to get the source precoding matrix and the relay amplifying matrix to optimize the system performance. The simulation results show that the proposed design algorithms can improve mean square error (MSE) performance.

Effectiveness Assessment of Black Start Schemes Based on Data Envelopment Analysis from the Perspective of Power Grid Crisis

2014 ◽  
Vol 1008-1009 ◽  
pp. 387-390
Author(s):  
Shi Hua Li
Keyword(s):  
Crisis Management ◽  
Relative Efficiency ◽  
Power Grid ◽  
Multiple Input Multiple Output ◽  
The Other ◽  
Data Envelopment ◽  
Crisis Recovery ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Effectiveness Assessment

Black start of power system is an issue of typical semi-structural optimization. Black-start scheme of power-grid recovery should have one or more alternative plans, when one project due to some special links cannot be successfully implemented, the other can quickly be implemented, so as to ensure the success rate of black-start crisis recovery. The preplan of crisis management requires the effective plan of crisis disposal, especially the preplan of black-start-path must be established, because effective recovery-path program can obtain an effective disposal of crisis to prevent the spread of the crisis. It is by the model of DEA that can evaluate the relative efficiency of the same type of black-start-path with multiple input, multiple output indexes, so as to identify gaps and improve the factors that affect the efficiency. So we chose the DEA model to evaluate the selection-path of black-start.

scholarly journals On the Effect of Different Grips of Handsets on Data Rate in the Measured Channels

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Maryam Rahimi ◽  
Ehsan Foroozanfard
Keyword(s):  
Multiple Input Multiple Output ◽  
Data Rate ◽  
Mimo Channels ◽  
Single Output ◽  
Measurement Results ◽  
Multiple Input ◽  
Input Multiple Output ◽  
The Impact ◽  
The City

The investigation on the achieved data rate of the cellular system considering different grips of handsets at different frequencies using measurement results of the measurement campaign—which was carried out in the city of Aalborg—is presented in this paper. The achieved data rate of the multiple-input single-output (MISO) interference channel is investigated. A typical propagation environment using two BSs and four handsets, like smart phones, held by four to eight different users was designed and multiple-input multiple-output (MIMO) channels in different scenarios were measured. In this paper, two BSs and two handsets at each measurement time are considered. The impact of the different parameters like correlation, different grips of handsets, and different long term evolution (LTE) frequency bands on the achieved data rate is investigated for different measurements. It could be concluded that the variations in the values of data rate are weakly associated with the different grips of handsets but more correlated with different frequencies.

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