scholarly journals A Study on Massive Mimo 5G Challenges

2020 ◽  
Author(s):  
Kanchana Devi A ◽  
Bhuvaneswari B
Keyword(s):  
Network Architecture ◽  
Massive Mimo ◽  
Channel Model ◽  
High Reliability ◽  
High Energy ◽  
Base Station ◽  
High Signal ◽  
Fifth Generation ◽  
5G Network ◽  
Mimo Technology

Massive MIMO is a advance of MIMO technology. M-MIMO use hundreds of Base station (BS) to simultaneously serve multiple users. It combines with millimeter wave (mmWave) to provide huge spectral efficient, high reliability and high energy efficiency. Massive MIMO gives huge antennas, high signal strength, less noise reduction and also using better channel model. This paper discusses the detail description of fifth generation (5G) network architecture and to improve massive MIMO in existing technology.

scholarly journals Improved Water-Filling Power Allocation for Energy-Efficient Massive MIMO Downlink Transmissions

2017 ◽  
Vol 63 (1) ◽  
pp. 79-84
Author(s):  
M. K Noor Shahida ◽  
Rosdiadee Nordin ◽  
Mahamod Ismail
Keyword(s):  
Power Allocation ◽  
Network Architecture ◽  
Massive Mimo ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Downlink Transmission ◽  
Allocation Algorithm ◽  
Mimo Antenna ◽  
Water Filling ◽  
Water Filling Algorithm

Abstract Energy Efficiency (EE) is becoming increasingly important for wireless communications and has caught more attention due to steadily rising energy costs and environmental concerns. Recently, a new network architecture known as Massive Multiple-Input Multiple-Output (MIMO) has been proposed with the remarkable potential to achieve huge gains in EE with simple linear processing. In this paper, a power allocation algorithm is proposed for EE to achieve the optimal EE in Massive MIMO. Based on the simplified expression, we develop a new algorithm to compute the optimal power allocation algorithm and it has been compared with the existing scheme from the previous literature. An improved water filling algorithm is proposed and embedded in the power allocation algorithm to maximize EE and Spectral Efficiency (SE). The numerical analysis of the simulation results indicates an improvement of 40% in EE and 50% in SE at the downlink transmission, compared to the other existing schemes. Furthermore, the results revealed that SE does not influence the EE enhancement after using the proposed algorithm as the number of Massive MIMO antenna at the Base Station (BS) increases.

scholarly journals Energy performance of 5G backhaul wireless network utilizing hybrid centric-distributed architecture

2019 ◽  
Vol 16 (3) ◽  
pp. 1343
Author(s):  
Hamza Mohammed Ridha Al-Khafaji ◽  
Hasan Shakir Majdi
Keyword(s):  
Energy Efficiency ◽  
Wireless Network ◽  
Network Architecture ◽  
Energy Performance ◽  
Small Cells ◽  
Network Architectures ◽  
Distributed Architecture ◽  
Wireless Backhaul ◽  
Fifth Generation ◽  
5G Network

<p>This paper scrutinizes the influence of deployment scenarios on the energy performance of fifth-generation (5G) network at various backhaul wireless frequency bands. An innovative network architecture, the hybrid centric-distributed, is employed and its energy efficiency (EE) model is analyzed. The obtained results confirm that the EE of the 5G network increases with an increasing number of small cells and degrades with an increasing frequency of wireless backhaul and radius of small cells regardless of the network architectures. Moreover, the hybrid centric-distributed architecture augments the EE when compared with the distributed architecture.</p>

scholarly journals Performance Analysis of NOMA Downlink for Next- Generation 5G Network with Statistical Channel State Information

2021 ◽  
Vol 26 (4) ◽  
pp. 417-423
Author(s):  
Indrajeet Kumar ◽  
Manish Kumar Mishra ◽  
Ritesh Kumar Mishra
Keyword(s):  
Outage Probability ◽  
Channel State Information ◽  
Rayleigh Fading ◽  
High Reliability ◽  
Superior Performance ◽  
Channel State ◽  
State Information ◽  
Fifth Generation ◽  
Proposed Model ◽  
5G Network

Non-orthogonal multiple access (NOMA) is a compelling strategy that helps wireless networks of the fifth-generation (5G) to fulfill the diverse demands of increased fairness, high reliability, extensive connectivity, low delay and superior performance. Traditionally, NOMA network presumes perfect transmitter-side channel state information (CSI), which is almost impossible for a number of communication scenarios. Furthermore, this paper contemplates the realistic NOMA downlink method in the Rayleigh fading networks, where the statistical CSI linked with each user is known to the transmitter. We evaluate the outage probability of the proposed model and obtain a closed-form framework of the probability of outage for each user. Besides, the source can optimize the network’s achievable sum-rate for different users based on statistical CSI. The precision of our outage probability analysis and the optimum power allocation algorithm proposed are both verified by the analytical and simulation results.

scholarly journals Transmit Antenna Optimization in Massive MIMO Technology with EE, SE Trade off

2019 ◽  
Vol 9 (1) ◽  
pp. 1926-1929
Keyword(s):  
Data Transmission ◽  
Massive Mimo ◽  
Search Algorithm ◽  
Antenna Selection ◽  
Gravitational Search Algorithm ◽  
Base Station ◽  
Transmit Antenna Selection ◽  
Transmission Rates ◽  
High Data ◽  
Mimo Technology

Massive MIMO Technology showed its unique characteristics and capabilities for future wireless communications where high data transmission rates are desired for fast growing 5G applications. High data transmission rates need more number of antennas at base station which comprised of increased system complexity and hardware cost. A proven method for reducing number of RF (radio frequency) chains at base station is Transmit Antenna Selection algorithm. In this paper an effective approach for TAS and optimizing the number of antennas at base station for desired data rates have been proposed and a Tradeoff between SE (Spectral Efficiency), EE (energy Efficiency) are discussed. MVGSA (modified velocity Gravitational Search algorithm) discussed for optimization of Transmit Antennas along with Improved SE and EE other effective algorithms are compared with multi objectives and data transmission rates. MVGSA proved with Improved SE and EE with Effective TAS.

Signal Detection Algorithms for Massive MIMO

2014 ◽  
Vol 1049-1050 ◽  
pp. 2063-2068
Author(s):  
Xiao Tian Wang ◽  
Long Xiang Yang
Keyword(s):  
Signal Detection ◽  
Massive Mimo ◽  
Large Scale ◽  
Mimo System ◽  
Base Station ◽  
Mobile Systems ◽  
Detection Algorithms ◽  
Fifth Generation ◽  
Base Station Antennas ◽  
Large Scale Antenna Systems

massive MIMO (also known as Large-Scale Antenna Systems),which is one of the key technologies for the fifth generation (5G) mobile systems, brings huge improvements in spectral efficiency and energy efficiency through the use of a large excess of antennas for base station. This paper analyses and simulates the performances of several signal detection algorithms under the massive MIMO system model. The results show that when the number of base station antennas is considerably larger than the number of users, even the simple signal detection algorithms can achieve good system performance.

scholarly journals A Device Centric Communication System for 5G Networks

2014 ◽  
Vol 5 (3) ◽  
pp. 60-72 ◽  
Author(s):  
Sanjay Kumar Biswash ◽  
Santosh Nagaraj ◽  
Mahasweta Sarkar
Keyword(s):  
Communication System ◽  
Base Station ◽  
Protocol Design ◽  
Mobile System ◽  
5G Networks ◽  
Fifth Generation ◽  
Communication Paradigm ◽  
5G Network ◽  
Efficiency And Effectiveness ◽  
And Performance

Fifth Generation (5G) networks hold the promise of features and performance levels that is going to put the conventional cellular communication paradigm through rigorous challenges. This paper presents a novel architecture for a 5G network which will be capable of mobile device centric communication regardless of the presence of a Base Station (BS). The major contribution of this paper, lies in the proposed system and protocol design of a Device-to-Device (D2D) communication system for 5G mobile system. The proposed design has two sub-categories – (a) fully device centric and (b) partially device centric. Additionally, the devices have been designed to communicate independently or with partial dependency on support from the BS. The system has been simulated under various parameters. The simulation results showcased in this paper highlights the efficiency and effectiveness of the proposed design.

scholarly journals Key Technologies in Massive MIMO

2018 ◽  
Vol 17 ◽  
pp. 01017
Author(s):  
Qiang Hu ◽  
Meixiang Zhang ◽  
Renzheng Gao
Keyword(s):  
Massive Mimo ◽  
Transmission Rate ◽  
New Technology ◽  
Rapid Development ◽  
Research Direction ◽  
Spectrum Efficiency ◽  
Data Traffic ◽  
Wireless Data ◽  
Fifth Generation ◽  
Mimo Technology

The explosive growth of wireless data traffic in the future fifth generation mobile communication system (5G) has led researchers to develop new disruptive technologies. As an extension of traditional MIMO technology, massive MIMO can greatly improve the throughput rate and energy efficiency, and can effectively improve the link reliability and data transmission rate, which is an important research direction of 5G wireless communication. Massive MIMO technology is nearly three years to get a new technology of rapid development and it through a lot of increasing the number of antenna communication, using very duplex communication mode, make the system spectrum efficiency to an unprecedented height.

scholarly journals 5G system throughput performance evaluation using Massive-MIMO technology with Cluster Delay Line channel model and non-line of sight scenarios

2021 ◽  
Vol 13 (2) ◽  
pp. 40-45
Author(s):  
John Baghous
Keyword(s):  
Massive Mimo ◽  
Channel Model ◽  
Fourth Generation ◽  
System Throughput ◽  
Line Of Sight ◽  
High Data ◽  
Mobile Cellular ◽  
New Applications ◽  
Mimo Technology ◽  
Non Line Of Sight

The fourth-generation system for mobile cellular communications (4G) has achieved great developments. The main problem here is that, with the passage of time and technical development, the need for new applications and services has emerged, and thus we need a new system that supports these matters in addition to the problems and limitations. One of the main challenges that the 4G system suffers from is the ability to support a larger number of devices, low latency, working in real time, provide greater capacity, in addition to providing a high data rate (bit rate) – hence 4G stands unable to support many new applications. This is what made researchers aspire to overcome these problems or reduce their impact to the maximum extent and this is what we expect to achieve in the new generation (5G). In this research, a presentation was made of the 5G system regarding with one of its most important techniques (Massive MIMO technology), clarification of some concepts related to the study such as throughput and NLOS (Non-Line of Sight), as well as the channel model used. The results of the experiments were presented with the discussion.

scholarly journals Genetic Algorithm for Vertical Handover (GAfVH)in a Heterogeneous networks

2019 ◽  
Vol 9 (4) ◽  
pp. 2534
Author(s):  
Iman Zubeiri ◽  
Yasmina El Morabit ◽  
Fatiha Mrabti
Keyword(s):  
Genetic Algorithm ◽  
Network Architecture ◽  
Signal Strength ◽  
Vertical Handover ◽  
Received Signal Strength ◽  
Wireless System ◽  
Fifth Generation ◽  
Radio Access ◽  
5G Network ◽  
Simulation Results

<p>The fifth generation (5G) wireless system will deal with the growing demand of new multimedia and broadband application. The 5G network architecture is based on heterogeneous Radio Access Technologies (RATs). In such implementation the Vertical handover is a key issue. Up till now, systems are using simple mechanisms to make handover decision, based on the evaluation of the Received Signal Strength (RSS). In some cases these mechanisms are not Efficient.This paper presents a new vertical handover algorithm based on Genetic Algorithm (GAfVH). It aims to reduce the number of unnecessary handovers, and optimizes the system performance. We compare our simulation results to the Received Signal Strength (RSS) based method. The results show that the number of handovers decreases. Moreover, we demonstrate that the network selection result can differ from an application to another.</p>

Historical Development of Spatial Modulation and Massive MIMO Communication System with Implementation Challenges : A Review

2020 ◽  
Vol 10 ◽  
Author(s):  
Anuj Kumar Sharma ◽  
Vipul Sharma ◽  
Kamal Kapoor
Keyword(s):  
Communication Networks ◽  
Information Acquisition ◽  
Historical Development ◽  
Massive Mimo ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Spatial Modulation ◽  
System Capacity ◽  
Implementation Challenges ◽  
Mimo Technology

: For wireless communication networks, massive MIMO (multiple-input multiple-output) technology has been considered a major achievement. MIMO Technology consists of equipping a base station with a large number of antennas to serve many active users. Through MIMO Technology, the ability to concentrate transmitted signal energy in very short spaces would result in huge increases in system capacity. While this new concept provides some fascinating benefits, it creates a new tension that has drawn both academia and industry attention. Channel state information acquisition, channel feedback, instant reciprocity, statistical reciprocity, architecture and hardware impairments are few of them. This paper presents a survey on Spatially Modulated Massive MIMO's historical development.

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