Javascript must be enabled to continue!
Optimization of Quality of Service in 5G Cellular Network by Focusing on Interference Management
View through CrossRef
Abstract
In recent years the increase of mobile devices and users of the internet lead to an increase in the burden on the network, low connectivity, and low bandwidth, and less throughput. With lots of advantages in the 5G cellular network, this network suffers from signal interference which causes a huge problem to the network. There are lots of challenges in the cellular network related to energy consumption and one of the main and key issues in 5G is interference management. There is a poor quality of voice during indoor communication so to improve this communication there is interference management that provides us Quality of Service (QoS). In indoor communication, there is low power as compared to outdoor because in outdoor communication there exist many users and due to users, there are low data rate and overhead on the base station. From this viewpoint, modulation schema and coding schemes are used to achieve better channel conditions, a large convergence area, and better QoS. In this paper, a scheme named 5th Generation Intereference Management (5G-IM) with evaluation of Traching Power Control-Gradual Removal (TPC-GR) based on Multiple Input Multiple Output (MIMO) technology for the use of interference management in a 5G network has been proposed. The evaluation of this scheme with relay strategy has also been carried out to avoid interference and to enhance the strength of the propagated signal. The simulation has been revealed the performance of the proposed interference management scheme with relay strategy based on performance evaluation parameters End-to-End Delay, Throughput, Path Loss, and Energy Consumption.
Title: Optimization of Quality of Service in 5G Cellular Network by Focusing on Interference Management
Description:
Abstract
In recent years the increase of mobile devices and users of the internet lead to an increase in the burden on the network, low connectivity, and low bandwidth, and less throughput.
With lots of advantages in the 5G cellular network, this network suffers from signal interference which causes a huge problem to the network.
There are lots of challenges in the cellular network related to energy consumption and one of the main and key issues in 5G is interference management.
There is a poor quality of voice during indoor communication so to improve this communication there is interference management that provides us Quality of Service (QoS).
In indoor communication, there is low power as compared to outdoor because in outdoor communication there exist many users and due to users, there are low data rate and overhead on the base station.
From this viewpoint, modulation schema and coding schemes are used to achieve better channel conditions, a large convergence area, and better QoS.
In this paper, a scheme named 5th Generation Intereference Management (5G-IM) with evaluation of Traching Power Control-Gradual Removal (TPC-GR) based on Multiple Input Multiple Output (MIMO) technology for the use of interference management in a 5G network has been proposed.
The evaluation of this scheme with relay strategy has also been carried out to avoid interference and to enhance the strength of the propagated signal.
The simulation has been revealed the performance of the proposed interference management scheme with relay strategy based on performance evaluation parameters End-to-End Delay, Throughput, Path Loss, and Energy Consumption.
Related Results
Multi-Interference Suppression Network: Joint Waveform and Filter Design for Radar Interference Suppression
Multi-Interference Suppression Network: Joint Waveform and Filter Design for Radar Interference Suppression
With the advancement of electromagnetic interference and counter-interference technology, complex and unpredictable interference signals greatly reduce radar detection, tracking, a...
Simplified Heat Transfer Model for Spiral‐Coil Energy Pile Groups and the Pile–Pile Thermal Interference
Simplified Heat Transfer Model for Spiral‐Coil Energy Pile Groups and the Pile–Pile Thermal Interference
ABSTRACTThe spiral heat exchanger of the energy pile groups is divided into multiple segments. Each heat exchanger segment is regarded as a three‐dimensional spiral heat source of ...
Revisiting near-threshold photoelectron interference in argon with a non-adiabatic semiclassical model
Revisiting near-threshold photoelectron interference in argon with a non-adiabatic semiclassical model
<sec> <b>Purpose:</b> The interaction of intense, ultrashort laser pulses with atoms gives rise to rich non-perturbative phenomena, which are encoded within th...
COMPARISON OF OPTIMIZATION STRATEGIES AND ESTIMATION TECHNIQUES FOR RADIO NETWORK PLANNING AND OPTIMIZATION PROBLEMS
COMPARISON OF OPTIMIZATION STRATEGIES AND ESTIMATION TECHNIQUES FOR RADIO NETWORK PLANNING AND OPTIMIZATION PROBLEMS
Background. Radio network planning is one of the main phases of the cellular network lifecycle, as it determines capital and operating costs and allows system performance evaluatio...
LIFE SKILL-BASED LEARNING MANAGEMENT AT STATE VOCATIONAL HIGH SCHOOL (SMKN) 3 SAMARINDA
LIFE SKILL-BASED LEARNING MANAGEMENT AT STATE VOCATIONAL HIGH SCHOOL (SMKN) 3 SAMARINDA
This research is based on the following problems: (1) How can life skills-based learning management improve the quality of graduates of SMKN 3 Samarinda? (2) What is the role of mo...
The Geography of Cyberspace
The Geography of Cyberspace
The Virtual and the Physical
The structure of virtual space is a product of the Internet’s geography and technology. Debates around the nature of the virtual — culture, s...
Dynamic Resource Allocation Algorithm for Interference Mitigation based on NOMA in UDN Network operating in both Uplink and Downlink
Dynamic Resource Allocation Algorithm for Interference Mitigation based on NOMA in UDN Network operating in both Uplink and Downlink
Abstract
The new notion of Internet of Vehicles (IoV) supports Vehicle-to-Everything (V2X) communications, which play a very important role in 5G systems. Non-orthogonal mu...
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
The project aims at the design and development of six hybrid nature inspired algorithms based on Grey Wolf Optimization algorithm with Artificial Bee Colony Optimization algorithm ...

