Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/562079 |
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| Summary: | 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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| ISSN: | 1110-757X 1687-0042 |