Quality of Service and Resource Allocation in Communication Systems

2021 ◽  
pp. 1-16
Author(s):  
Michael Ghorbanzadeh ◽  
Ahmed Abdelhadi
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Communication Systems

Quality of Experience (QoE) for Wireless Video Over Critical Communication Systems

2017 ◽  
pp. 132-167
Author(s):  
Emad Danish ◽  
Mazin I. Alshamrani
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Energy Consumption ◽  
Communication Systems ◽  
Quality Of Experience ◽  
Service Providers ◽  
Wireless Video ◽  
User Centric ◽  
Near Future

Video streaming is expected to acquire a massive share of the global internet traffic in the near future. Meanwhile, it is expected that most of the global traffic will be carried over wireless networks. This trend translates into considerable challenges for Service Providers (SP) in terms of maintaining consumers' Quality of Experience (QoE), energy consumption, utilisation of wireless resources, and profitability. However, the majority of Radio Resource Allocation (RRA) algorithms only consider enhancing Quality of Service (QoS) and network parameters. Since this approach may end up with unsatisfied customers in the future, it is essential to develop innovative RRA algorithms that adopt a user-centric approach based on users' QoE. This chapter focus on wireless video over Critical communication systems that are inspired by QoE perceived by end users. This chapter presents a background to introduce the reader to this area, followed by a review of the related up-to-date literature.

scholarly journals A Hybrid Approach to Call Admission Control in 5G Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammed Al-Maitah ◽  
Olena O. Semenova ◽  
Andriy O. Semenov ◽  
Pavel I. Kulakov ◽  
Volodymyr Yu. Kucheruk
Keyword(s):  
Artificial Intelligence ◽  
Quality Of Service ◽  
Admission Control ◽  
Mobile Communications ◽  
Communication Systems ◽  
Call Admission Control ◽  
Hybrid Approach ◽  
5G Networks ◽  
Call Admission

Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers of users and the quality of service satisfaction. Call admission control plays a significant role in providing the desired quality of service. An effective call admission control algorithm is needed for optimizing the cellular network system. Many call admission control schemes have been proposed. The paper proposes a methodology for developing a genetic neurofuzzy controller for call admission in 5G networks. Performance of the proposed admission control is evaluated through computer simulation.

scholarly journals Energy Optimization of a Laser-Powered Hovering-UAV Relay in Optical Wireless Backhaul

2021 ◽  
Author(s):  
Muhammad Salman Bashir ◽  
Mohamed-Slim Alouini
Keyword(s):  
Quality Of Service ◽  
Communication Systems ◽  
Low Cost ◽  
Base Stations ◽  
Achievable Rate ◽  
Optical Wireless ◽  
Free Space Optical ◽  
Decode And Forward ◽  
Wireless Backhaul

<div>Due to their flexibility and low cost deployment, unmanned aerial vehicles (UAV) will most likely act as base stations and backhaul relays in the next generation of wireless communication systems. However, these UAVs---in the untethered mode---can only operate for a finite time due to limited energy they carry in their batteries. In free-space optical communications, one solution is to transport both the data and the energy from the source to the UAV through the laser beam---a concept known as <i>simultaneous lightwave information and power transfer</i> (SLIPT). In this study, we have analyzed the SLIPT scheme for laser-powered decode-and-forward UAV relays in an optical wireless backhaul. The major goal of this study is to optimally allocate the received beam energy between the decoding circuit, the transmitting circuit and the rotor block of the relay in order to maximize a quality-of-service metric such as maximum achievable rate, outage or error probabilities. As expected, we note that the optimal power allocation depends heavily on the source-relay and relay-destination channel conditions. In the final part of this study, we have maximized the operational time of the UAV relay given that the maximum achievable rate stays above a certain threshold in order to meet a minimum quality-of-service requirement.</div>

scholarly journals NSIS-Based Quality of Service and Resource Allocation in Ethernet Networks

2006 ◽  
pp. 132-142
Author(s):  
M. Carmo ◽  
B. Carvalho ◽  
J. Sá Silva ◽  
E. Monteiro ◽  
P. Simões ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Ethernet Networks

scholarly journals A Secure Optimization Algorithm for Quality-of-Service Improvement in Hybrid Wireless Networks

2021 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Smys S ◽  
Wang Haoxiang
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Optimization Algorithm ◽  
Communication Systems ◽  
Data Transfer ◽  
Mesh Networks ◽  
Service Improvement ◽  
Complex Data ◽  
Hybrid Wireless Networks

Various industrial, scientific and commercial processes involve wireless mesh networks in the recent days. These technologies improve communication technology to a large extent which has led to an increase in utilization of these systems in various fields. In application with intense and complex data flow, improving the quality of service (QoS) has been a challenge and a focus of research leading to more advanced wireless communication systems. This paper provides a novel optimization algorithm for improving the QoS in hybrid wireless networks while preventing malware and routing attacks. The concept of QoS and hybrid wireless networks are examined at the initial stage. Further, the algorithm for optimizing the service quality in the network is proposed accordingly. The ability of data transfer is benefited by data packets in this algorithm. Load distribution is performed such that overcrowding is prevented and information routing is done efficiently though the nodes. Delay or routing is created and control messages are sent for withholding data when certain nodes are overcrowded. This reduces the delay created by overcrowding by 50% while maintaining the permittivity.

scholarly journals Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210310 ◽  
Author(s):  
Maharazu Mamman ◽  
Zurina Mohd Hanapi ◽  
Azizol Abdullah ◽  
Abdullah Muhammed
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Radio Resource Allocation ◽  
Service Class ◽  
Radio Resource ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm
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