scholarly journals Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Elias Yaacoub ◽  
Zaher Dawy
Keyword(s):  
Resource Management ◽  
Quality Of Experience ◽  
Radio Resource Management ◽  
Geometric Mean ◽  
Video Quality ◽  
Radio Resource ◽  
Distributed Antenna Systems ◽  
Distributed Antenna ◽  
Antenna Systems

Network quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured when Max C/I, proportional fair, and Max-Min RRM algorithms are implemented in the network. The objective is to ensure a fair QoE for all users in the network. In our study, we investigate both the uplink (UL) and downlink (DL) directions, and we consider the use of distributed antenna systems (DASs) to enhance the performance. The performance of the various RRM methods in terms of the proposed network QoE metrics is studied in scenarios with and without DAS deployments. Results show that a combination of DAS and fair RRM algorithms can lead to significant and fair QoE enhancements for all the users in the network.

Smart spectrum and radio resource management for future 5G networks

2021 ◽  
Vol 193 ◽  
pp. 108089
Author(s):  
Miguel López-Benítez ◽  
Alessandro Raschellà ◽  
Sara Pizzi ◽  
Li Wang ◽  
Marco Di Felice ◽  
...  
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
5G Networks ◽  
Radio Resource

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.

A hierarchical radio resource management framework for integrating wlans in cellular networking environments

2005 ◽  
Vol 12 (6) ◽  
pp. 11-17 ◽  
Author(s):  
G.T. Karetsos ◽  
S.A. Kyriazakos ◽  
E. Groustiotis ◽  
F. Di Giandomenico ◽  
I. Mura
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Radio Resource ◽  
Management Framework
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