- Title
- High definition video packet scheduling algorithms for IEEE802.11ac networks to enhance QoE
- Creator
- Nosheen, Summera; Khan, Jamil Y.
- Relation
- 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). Proceedings of 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) (Antwerp, Belgium 25-28 May, 2020) p. 1-5
- Publisher Link
- http://dx.doi.org/10.1109/VTC2020-Spring48590.2020.9128873
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2020
- Description
- The prevalence of video traffic services over IEEE 802.11 networks increased the incentive for service providers to improve the video quality of experience (QoE). Delivering high quality video on a random access network is a challenging task due to the use of non-deterministic resource allocation techniques. High definition (HD) video services require enhanced viewing quality with similar QoE for all video users in a network. In this paper, we propose two video packet scheduling algorithms for the 802.11 MAC protocol which can offer high QoS for all video streams as well as maintaining fairness among these video streams. We propose two algorithms to achieve above objectives. The first algorithm named FRA-TXOP allocates appropriate network resources to video terminals by identifying congested terminals. The second algorithm is the EAS that works in combination with the FRA-TXOP to offer inter-user fairness in a networks. A NS-3 simulation model was developed to evaluate the performance of proposed algorithms, and compare proposed algorithms performance with the Bi-level algorithm and the standard IEEE 802.11ac MAC protocol. Simulation results demonstrate that the proposed algorithms can improve the perceived video quality and inter-user fairness for all video users in a network.
- Subject
- IEEE802.11ac; HD video stream; TXOP; resource allocation; inter-service fairness
- Identifier
- http://hdl.handle.net/1959.13/1436683
- Identifier
- uon:40104
- Identifier
- ISBN:9781728152073
- Language
- eng
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