Distributed Antenna Systems for Enhanced Video Transmission in LTE Public Safety Networks

2014 ◽  
pp. 40-64
Author(s):  
Elias Yaacoub ◽  
Nizar Zorba ◽  
Zaher Dawy
Keyword(s):  
Resource Allocation ◽  
Public Safety ◽  
Video Transmission ◽  
Video Quality ◽  
Distributed Antenna Systems ◽  
Distributed Antenna ◽  
Proportional Fair Scheduling ◽  
Antenna Systems ◽  
Public Safety Networks

In this chapter, Long Term Evolution (LTE) for public safety is investigated. Particularly, Distributed Antenna Systems (DAS) are studied, and their impact on LTE public safety networks is analyzed. Furthermore, resource allocation algorithms for the purpose of real-time video transmission, in both the Uplink (UL) and Downlink (DL) directions, are proposed, and a proportional fair scheduling algorithm, applicable in both the UL and DL directions, is presented. The proposed algorithms are compared in several scenarios with and without distributed antenna systems. In addition, Quality of Experience (QoE) metrics are used to measure the quality of the video transmissions, and joint uplink/downlink quality metrics, tailored to video transmission over public safety networks, are presented. Simulation results show large enhancements in video quality due to the application of DAS with smart resource allocation in LTE public safety networks.

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.

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