Power and rate control for wireless communication networks based on priority of quality-of-service

2017 ◽  
Author(s):  
Cunwu Han ◽  
Shurui Chang ◽  
Lei Liu ◽  
Zhijun Li ◽  
Dehui Sun
Keyword(s):  
Quality Of Service ◽  
Wireless Communication ◽  
Communication Networks ◽  
Rate Control ◽  
Wireless Communication Networks

scholarly journals Performance Comparison of Handover mechanisms in mobile wireless communication networks for Broadband Wireless Access Systems

2020 ◽  
Vol 2 (1) ◽  
pp. 25-37
Author(s):  
Rebin Abdullah Saeed
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Performance Comparison ◽  
Wireless Communication Networks ◽  
Current Channel ◽  
Mobile Wireless ◽  
Broadband Wireless ◽  
Handover Process ◽  
Broadband Wireless Access Systems

Mobility is the mobile communication characteristics which make it diverse and attractive for all. Wireless communication is now attractive to the whole world and provides the ability of users to communicate very active. Transferring the users from one radio network to another is accomplishing the IT. The process is called the handover process. The transfer takes place by adjusting the duration of the soft transfers, the area size and either by cell crossing or by deterioration in the signal quality of the current channel — the brief overview of handover, Handover in WiMAX and LTE, types of handover, handover types solutions, approaches used in literature are typically transfer parameters and I contemporary the convergent fact for continuance in the area of mobile and wireless communication Handover.

scholarly journals Modeling and Model Predictive Power and Rate Control of Wireless Communication Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Cunwu Han ◽  
Dehui Sun ◽  
Song Bi ◽  
Lei Liu ◽  
Zhengxi Li
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Rate Control ◽  
Predictive Power ◽  
Control Method ◽  
State Feedback Control ◽  
Linear Matrix ◽  
Control Input ◽  
Wireless Communication Networks ◽  
Control System Model

A novel power and rate control system model for wireless communication networks is presented, which includes uncertainties, input constraints, and time-varying delays in both state and control input. A robust delay-dependent model predictive power and rate control method is proposed, and the state feedback control law is obtained by solving an optimization problem that is derived by using linear matrix inequality (LMI) techniques. Simulation results are given to illustrate the effectiveness of the proposed method.

Artificial Intelligence for Interface Management in Wireless Heterogeneous Networks

2020 ◽  
pp. 224-237
Author(s):  
Monika Rani ◽  
Kiran Ahuja
Keyword(s):  
Artificial Intelligence ◽  
Quality Of Service ◽  
Communication Networks ◽  
User Satisfaction ◽  
Wireless Communication Networks ◽  
Mobile Terminals ◽  
Interface Management ◽  
Wireless Heterogeneous Networks ◽  
Requirements Quality

Wireless communication/networks are developing into very complex systems because of different requirements and applications of consumers. Today, mobile terminals are equipped with multi-channel and multiple access interfaces for different kinds of applications (or services). The combination of these access technologies needs an intelligent control to interface the best channel, interface/access or link for best services. In interface management, an arrangement is used to assign channels to interfaces in the multi-channel multi-interface environment. Artificial intelligence is one of the upcoming areas with different techniques which is used now a days to meet user's requirements. Quality of service (QoS) and quality of experience (QoE) are the performance parameters on which the success of any technique depends upon. Reliability of any system plays an important role in user satisfaction. This chapter shows some of the artificial techniques that can be used to make a reliable system.

scholarly journals Analysis of impact of machine-type-communication on human-type communication over wireless communication networks

2021 ◽  
Author(s):  
Parampreet Sidhu
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Blocking Probability ◽  
Wireless Communication Networks ◽  
Machine Type ◽  
Human Type ◽  
Machine Type Communication ◽  
The Impact ◽  
Source Management

With the advent of new wireless technologies, it is expected that the use of Machine-Type Communication (MTC) will significantly increase in next generation wireless networks. Wireless communication networks are considered to support MTC due to their availability and existing infrastructures. As these networks are designed and optimized in a way that they fit best for Human Type Communication (HTC), there is a need of an efficient radio re- source management (RRM) to accommodate MTC traffic without affecting the regular HTC traffic in the network. In this thesis, a continuous-time Markov chain (CTMC) model-based RRM scheme is proposed to analyze the impact of MTC traffic on HTC traffic in wireless communication networks, in terms of blocking probability and channel utilization. Numerical results are provided, demonstrating the effectiveness of the proposed RRM scheme in providing the quality of service (QoS) isolation between HTC and MTC traffic.

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