Bit-error-rate minimisation in multiuser transmission schemes for multiple-input–multiple-output communication with increasing number of base station antennas

2015 ◽  
Vol 9 (16) ◽  
pp. 1960-1967 ◽  
Author(s):  
José Carlos Marinello ◽  
Fernando Ciriaco ◽  
Taufik Abrão
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Multiuser Transmission ◽  
Base Station Antennas ◽  
Multiple Input ◽  
Input Multiple Output

Bit Error Rate of Atmospheric Optical Multiple Input Multiple Output System with Pulse Position Modulation Under Influence of Combined Effect

2019 ◽  
Vol 56 (9) ◽  
pp. 090602
Author(s):  
张悦 Zhang Yue ◽  
王惠琴 Wang Huiqin ◽  
曹明华 Cao Minghua ◽  
雷景丽 Lei Jingli ◽  
王道斌 Wang Daobin
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Multiple Input Multiple Output ◽  
Combined Effect ◽  
Pulse Position Modulation ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Output System

Performance of 16QAM on UV Communication

2013 ◽  
Vol 475-476 ◽  
pp. 863-866
Author(s):  
Rui Zhu ◽  
Da Hai Han
Keyword(s):  
Wireless Communication ◽  
Bit Error Rate ◽  
Error Rate ◽  
Amplitude Modulation ◽  
Multiple Input Multiple Output ◽  
Modulation Method ◽  
Multiple Input ◽  
Communication Environments ◽  
Input Multiple Output ◽  
Mimo Technology

Explorations on ultraviolet (UV) communication field are relatively little among wireless communication for lacking of suitable simulation equipments. Possible mode was investigated on UV by combining mature coding techniques with gradually improved multiple-input multiple-output (MIMO) technology. A candidate modulation method, the 16-ary quadrature-amplitude modulation (16QAM), was analyzed for UV communication using MIMO technology. Comparisons between 16QAM and OOK were presented to better depict characteristics of 16QAM through simulation. The result shows that under specific bit error rate (BER) requirements for most communication environments, 16QAM can help save transmitting power and enlarges transmission capacity.

scholarly journals Bit Error Rate Performance of a MIMO-CDMA System Employing Parity-Bit-Selected Spreading in Frequency Nonselective Rayleigh Fading

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Claude D'Amours ◽  
Adel Omar Dahmane
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Rayleigh Fading ◽  
Multiple Input Multiple Output ◽  
Cdma System ◽  
Multiple Input ◽  
Output Code ◽  
Input Multiple Output ◽  
Analytical Result ◽  
Code Division Multiple

We analytically derive the upper bound for the bit error rate (BER) performance of a single user multiple input multiple output code division multiple access (MIMO-CDMA) system employing parity-bit-selected spreading in slowly varying, flat Rayleigh fading. The analysis is done for spatially uncorrelated links. The analysis presented demonstrates that parity-bit-selected spreading provides an asymptotic gain of10log(Nt)dB over conventional MIMO-CDMA when the receiver has perfect channel estimates. This analytical result concurs with previous works where the (BER) is determined by simulation methods and provides insight into why the different techniques provide improvement over conventional MIMO-CDMA systems.

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.

A companding approach for PAPR suppression in OFDM based massive MIMO system

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ajay Kumar Yadav ◽  
Pritam Keshari Sahoo ◽  
Yogendra Kumar Prajapati
Keyword(s):  
Massive Mimo ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Average Power ◽  
Base Station ◽  
Convex Optimization Problem ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm

Abstract Orthogonal frequency division multiplexing (OFDM) based massive multiuser (MU) multiple input multiple output (MIMO) system is popularly known as high peak-to-average power ratio (PAPR) issue. The OFDM-based massive MIMO system exhibits large number of antennas at Base Station (BS) due to the use of large number of high-power amplifiers (HPA). High PAPR causes HPAs to work in a nonlinear region, and hardware cost of nonlinear HPAs are very high and also power inefficient. Hence, to tackle this problem, this manuscript suggests a novel scheme based on the joint MU precoding and PAPR minimization (PP) expressed as a convex optimization problem solved by steepest gradient descent (GD) with μ-law companding approach. Therefore, we develop a new scheme mentioned to as MU-PP-GDs with μ-law companding to minimize PAPR by compressing and enlarging of massive MIMO OFDM signals simultaneously. At CCDF = 10−3, the proposed scheme (MU-PP-GDs with μ-law companding for Iterations = 100) minimizes the PAPR to 3.70 dB which is better than that of MU-PP-GDs, (iteration = 100) as shown in simulation results.

scholarly journals Beam division multiple access for millimeter wave massive MIMO: Hybrid zero-forcing beamforming with user selection

2022 ◽  
Vol 12 (1) ◽  
pp. 445
Author(s):  
Hong Son Vu ◽  
Kien Truong ◽  
Minh Thuy Le
Keyword(s):  
Multiple Access ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Zero Forcing ◽  
Multiuser Interference ◽  
Novel Approach ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Promising Solution

<p>Massive multiple-input multiple-output (MIMO) systems are considered a promising solution to minimize multiuser interference (MUI) based on simple precoding techniques with a massive antenna array at a base station (BS). This paper presents a novel approach of beam division multiple access (BDMA) which BS transmit signals to multiusers at the same time via different beams based on hybrid beamforming and user-beam schedule. With the selection of users whose steering vectors are orthogonal to each other, interference between users is significantly improved. While, the efficiency spectrum of proposed scheme reaches to the performance of fully digital solutions, the multiuser interference is considerably reduced.</p>

scholarly journals Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1844
Author(s):  
Minhoe Kim ◽  
Woongsup Lee ◽  
Dong-Ho Cho
Keyword(s):  
Communication Systems ◽  
Large Scale ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Q Learning ◽  
Multiple Input ◽  
Beam Selection ◽  
Input Multiple Output ◽  
Optimal Beam ◽  
Resource Allocation Scheme

In this paper, we investigate a deep learning based resource allocation scheme for massive multiple-input-multiple-output (MIMO) communication systems, where a base station (BS) with a large scale antenna array communicates with a user equipment (UE) using beamforming. In particular, we propose Deep Scanning, in which a near-optimal beamforming vector can be found based on deep Q-learning. Through simulations, we confirm that the optimal beam vector can be found with a high probability. We also show that the complexity required to find the optimum beam vector can be reduced significantly in comparison with conventional beam search schemes.

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