A New Radio Resource Management Algorithm for Mixed Traffic Transmission in Mobile System

2007 ◽  
Author(s):  
Jahangir Dadkhah Chimeh ◽  
Maryam Abdoli ◽  
Mohammad Hakkak
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Mixed Traffic ◽  
Mobile System ◽  
Radio Resource ◽  
Management Algorithm ◽  
New Radio

scholarly journals Stackelberg Game-Based Radio Resource Management Algorithm in an Urban Rail Transit Communication System

2021 ◽  
Author(s):  
Yingxia Shao ◽  
Hailin Jiang ◽  
Hongli Zhao
Keyword(s):  
Resource Management ◽  
Stackelberg Game ◽  
Radio Resource Management ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Radio Resource ◽  
Time Frequency ◽  
Management Algorithm ◽  
Urban Rail ◽  
Communication Modes

AbstractTrain-to-wayside (T2W) and train-to-train (T2T) communication modes may coexist in future train-centric communication-based train control (CBTC) systems. The feasibility of T2T communication in urban rail transit is analyzed first. Referring to the device-to-device (D2D) communication scenario in the general cellular network, this paper establishes a radio resource optimization model for the coexistence of train-to-train communication and train-to-wayside communication. With the aim of more efficient scheduling of radio time-frequency resources in the dedicated frequency band, we propose a Stackelberg game-based radio resource management algorithm based on the consideration of different service priorities of trains. The analysis and simulation results show that the proposed algorithm can effectively guarantee the performance of the system and improve the reliability of the CBTC system.

Distributed Resources Management in Wireless LANs

2011 ◽  
pp. 293-304
Author(s):  
Ghassan Kbar ◽  
Wathiq Mansoor
Keyword(s):  
Resource Management ◽  
Large Scale ◽  
Radio Resource Management ◽  
Management Technique ◽  
Radio Resource ◽  
Distributed Resources ◽  
Dynamic Channel Assignment ◽  
Resources Management ◽  
New Radio ◽  
Dynamic Channel

This paper introduces a new radio resource management technique based on distributed dynamic channel assignment, and sharing load among Access Points (AP). Deploying wireless LANs (WLAN) on a large scale is mainly affected by reliability, availability and performance. These parameters will be a concern for most managers who want to deploy WLANs. In order to address these concerns, a new radio resource management technique can be used in a new generation of wireless LAN equipment. This technique would include distributed dynamic channel assignment, and load sharing among Access Points (AP), which improves the network availability and reliability compared to centralized management techniques. In addition, it will help to increase network capacities and improve performance, especially in large-scale WLANs. Analysis results using normal and binomial distribution have been included which indicate an improvement of performance resulting from network balancing when implementing distributed resources management at WLANs.

scholarly journals 5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
F. S. Samidi ◽  
N. A. M. Radzi ◽  
W. S. H. M. W. Ahmad ◽  
F. Abdullah ◽  
M. Z. Jamaludin ◽  
...  
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Radio Resource ◽  
Time Division Duplex ◽  
New Radio ◽  
Management Approaches ◽  
Dynamic Time ◽  
Time Division

Game Theory Based Radio Resource Management Algorithm for Packet Access Cellular Networks

2017 ◽  
Vol 9 (1) ◽  
pp. 19-32
Author(s):  
Mihály Varga ◽  
Zsolt Alfréd Polgár
Keyword(s):  
Game Theory ◽  
Resource Management ◽  
Radio Resource Management ◽  
Low Complexity ◽  
Radio Resource ◽  
Average Delay ◽  
Management Algorithm ◽  
High Spectral Efficiency ◽  
Suboptimal Solution ◽  
Multidimensional Optimization

AbstractThe goal of Radio Resource Management (RRM) mechanisms is to allocate the transmission resources to the users such that the transmission requests are satisfied while several constraints are fulfilled. These constraints refer to low complexity and power consumption and high spectral efficiency and can be met by multidimensional optimization. This paper proposes a Game Theory (GT) based suboptimal solution to this multidimensional optimization problem. The results obtained by computer simulations show that the proposed RRM algorithm brings significant improvement in what concerns the average delay and the throughput, compared to other RRM algorithms, at the expense of somewhat increased complexity.

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