Radio resource management for cooperative wireless communication systems with organized beam-hopping techniques

2008 ◽  
Vol 15 (2) ◽  
pp. 100-109 ◽  
Author(s):  
Honglin Hu ◽  
Jijun Luo ◽  
Hsiao-Hwa Chen
2021 ◽  
Author(s):  
Zhiming He

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.


2021 ◽  
Author(s):  
Zhiming He

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.


2021 ◽  
Author(s):  
Zhiming He

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.


2021 ◽  
Author(s):  
Zhiming He

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.


2010 ◽  
Vol 20-23 ◽  
pp. 872-877
Author(s):  
Gang Yong Lin ◽  
Sheng Hui Dai ◽  
Shan Long Ma

The increasing use of wireless communications in mobile devices starts a new level of resource management. Users with mobile devices accessing wireless hot spots are a commonplace, and, thus, their management is becoming more important. Therefore, efficient utilization of radio resource becomes a key point in the design of broadband systems. From the view of the development of radio resource management, current technologies have quite good performance and high efficiency when the category of service is single. However, when multiple services take place simultaneously, the system has to emphasize on some certain kinds of services and degrade the performance of others. Moreover, the wireless network is not able to detect collision and monitor the channel status as is the wire line network, which makes it more difficult to design the management scheme. This paper introduces and analyzes current main technologies of radio resource management, discusses the key technical points on designing the scheme, and then offers a new proposal of uplink radio resource allocation scheme in broadband systems. Based on the detailed illustration of the algorithm, a simulation system is established to verify it, which is adapted to the typical situation of broadband wireless communication systems. The theory analysis and the simulation results show that the new method successfully resolves the uplink bandwidth allocation problem for the simultaneous multiple services, satisfies the different requirements of delay and bandwidth of different services, and also reduces the protocol wasting and transmission delay.


Sign in / Sign up

Export Citation Format

Share Document