Vision on Radio Resource Management (RRM) and Quality of Service (QoS) for Wireless Communication Systems in Year 2020

2010 ◽  
pp. 119-128 ◽  
Author(s):  
Ljupčo Jorgušeski
Keyword(s):  
Quality Of Service ◽  
Resource Management ◽  
Wireless Communication ◽  
Communication Systems ◽  
Radio Resource Management ◽  
Wireless Communication Systems ◽  
Radio Resource

Geometric water-filling and radio resource management

2021 ◽  
Author(s):  
Zhiming He
Keyword(s):  
Cognitive Radio ◽  
Resource Management ◽  
Wireless Communication ◽  
Communication Systems ◽  
Optimization Problems ◽  
Radio Resource Management ◽  
Throughput Maximization ◽  
Wireless Communication Systems ◽  
Radio Resource ◽  
Water Filling

This thesis considers the radio resource management (RRM) of advanced wireless communication systems. With the emerging of more advanced and more complicated systems, such as cognitive radio, nodes with energy harvesting capacities (green communications), and the application of Multiple-Input Multiple-Output (MIMO) technology, RRM problems introduce more difficulties and challenges to optimize system performances. Due to specific structure of communication systems, water-filling (WF) plays an important role in RRM. This thesis introduces the fundamental theory and development of WF algorithm. The proposed Geometric Water-Filling (GWF) is presented and compared with the conventional WF algorithms. It can break through the limitations of the conventional WF to solve the more complicated optimization problems in the advanced wireless communication systems. For the application of the proposed GWF to solve the RRM problems in the advanced MIMO communication systems, cognitive radio communication systems, green communication systems and the “dual problems”, which are the sum power minimization problems, of the throughput maximization problems is investigated in this thesis. Efficient algorithms are presented to achieve the optimal resource allocation.

Geometric water-filling and radio resource management

2021 ◽  
Author(s):  
Zhiming He
Keyword(s):  
Cognitive Radio ◽  
Resource Management ◽  
Wireless Communication ◽  
Communication Systems ◽  
Optimization Problems ◽  
Radio Resource Management ◽  
Throughput Maximization ◽  
Wireless Communication Systems ◽  
Radio Resource ◽  
Water Filling

This thesis considers the radio resource management (RRM) of advanced wireless communication systems. With the emerging of more advanced and more complicated systems, such as cognitive radio, nodes with energy harvesting capacities (green communications), and the application of Multiple-Input Multiple-Output (MIMO) technology, RRM problems introduce more difficulties and challenges to optimize system performances. Due to specific structure of communication systems, water-filling (WF) plays an important role in RRM. This thesis introduces the fundamental theory and development of WF algorithm. The proposed Geometric Water-Filling (GWF) is presented and compared with the conventional WF algorithms. It can break through the limitations of the conventional WF to solve the more complicated optimization problems in the advanced wireless communication systems. For the application of the proposed GWF to solve the RRM problems in the advanced MIMO communication systems, cognitive radio communication systems, green communication systems and the “dual problems”, which are the sum power minimization problems, of the throughput maximization problems is investigated in this thesis. Efficient algorithms are presented to achieve the optimal resource allocation.

scholarly journals Geometric water-filling and radio resource management

2021 ◽  
Author(s):  
Zhiming He
Keyword(s):  
Cognitive Radio ◽  
Resource Management ◽  
Wireless Communication ◽  
Communication Systems ◽  
Optimization Problems ◽  
Radio Resource Management ◽  
Throughput Maximization ◽  
Wireless Communication Systems ◽  
Radio Resource ◽  
Water Filling

This thesis considers the radio resource management (RRM) of advanced wireless communication systems. With the emerging of more advanced and more complicated systems, such as cognitive radio, nodes with energy harvesting capacities (green communications), and the application of Multiple-Input Multiple-Output (MIMO) technology, RRM problems introduce more difficulties and challenges to optimize system performances. Due to specific structure of communication systems, water-filling (WF) plays an important role in RRM. This thesis introduces the fundamental theory and development of WF algorithm. The proposed Geometric Water-Filling (GWF) is presented and compared with the conventional WF algorithms. It can break through the limitations of the conventional WF to solve the more complicated optimization problems in the advanced wireless communication systems. For the application of the proposed GWF to solve the RRM problems in the advanced MIMO communication systems, cognitive radio communication systems, green communication systems and the “dual problems”, which are the sum power minimization problems, of the throughput maximization problems is investigated in this thesis. Efficient algorithms are presented to achieve the optimal resource allocation.

scholarly journals Geometric water-filling and radio resource management

2021 ◽  
Author(s):  
Zhiming He
Keyword(s):  
Cognitive Radio ◽  
Resource Management ◽  
Wireless Communication ◽  
Communication Systems ◽  
Optimization Problems ◽  
Radio Resource Management ◽  
Throughput Maximization ◽  
Wireless Communication Systems ◽  
Radio Resource ◽  
Water Filling

This thesis considers the radio resource management (RRM) of advanced wireless communication systems. With the emerging of more advanced and more complicated systems, such as cognitive radio, nodes with energy harvesting capacities (green communications), and the application of Multiple-Input Multiple-Output (MIMO) technology, RRM problems introduce more difficulties and challenges to optimize system performances. Due to specific structure of communication systems, water-filling (WF) plays an important role in RRM. This thesis introduces the fundamental theory and development of WF algorithm. The proposed Geometric Water-Filling (GWF) is presented and compared with the conventional WF algorithms. It can break through the limitations of the conventional WF to solve the more complicated optimization problems in the advanced wireless communication systems. For the application of the proposed GWF to solve the RRM problems in the advanced MIMO communication systems, cognitive radio communication systems, green communication systems and the “dual problems”, which are the sum power minimization problems, of the throughput maximization problems is investigated in this thesis. Efficient algorithms are presented to achieve the optimal resource allocation.

Resource Allocation and Quality of Service Evaluation for Wireless Communication Systems Using Fluid Models

2007 ◽  
Vol 53 (5) ◽  
pp. 1767-1777 ◽  
Author(s):  
Lingjia Liu ◽  
Parimal Parag ◽  
Jia Tang ◽  
Wei-Yu Chen ◽  
Jean-Franois Chamberland
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Wireless Communication ◽  
Communication Systems ◽  
Service Evaluation ◽  
Wireless Communication Systems ◽  
Fluid Models

Scheduling Algorithms and Radio Resource Management in WiMAX

2014 ◽  
pp. 219-238
Author(s):  
Yasser Sadri ◽  
Mohammdhossein Norouzibeirami
Keyword(s):  
Quality Of Service ◽  
Resource Management ◽  
High Speed ◽  
Radio Resource Management ◽  
Scheduling Algorithms ◽  
Ieee 802.16 ◽  
Wireless Access ◽  
Radio Resource ◽  
Radio Resources

The IEEE 802.16 has defined wireless access systems called WiMAX. These systems provide high-speed communications over long distances. To support multimedia applications, some service classes with Quality of Service (QoS) requirements are defined in IEEE 802.16, but the QoS scheduler is not standardized. The scheduling mechanism has a significant effect on the performance of WiMAX systems for use of bandwidth and radio resources. Some scheduling algorithms have been introduced by researchers. This study focuses on scheduling techniques proposed for WiMAX. The authors analyze a number of WiMAX scheduling algorithms in the Point-to-Multi-Point (PMP) mode and highlight their main points.

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