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Dynamic Resource Allocation for Low-Delay Video Streaming in the Uplink of of DMA Mobile Networks.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Dynamic Resource Allocation for Low-Delay Video Streaming in the Uplink of of DMA Mobile Networks./
作者:
Le, Minh Hieu.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:
123 p.
附註:
Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:
Dissertations Abstracts International84-01B.
標題:
Receivers & amplifiers. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29176672
ISBN:
9798835546572
Dynamic Resource Allocation for Low-Delay Video Streaming in the Uplink of of DMA Mobile Networks.
Le, Minh Hieu.
Dynamic Resource Allocation for Low-Delay Video Streaming in the Uplink of of DMA Mobile Networks.
- Ann Arbor : ProQuest Dissertations & Theses, 2022 - 123 p.
Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Thesis (Ph.D.)--Technische Universitaet Berlin (Germany), 2022.
This item must not be sold to any third party vendors.
In recent years, video has been inducing an exponential growth in mobile traffic. Today, mobile operators pay several billions of euros for radio frequency bands to cope with enormous traffic demands. At the same time, the enduring demand growth increasingly forces mobile operators and video service providers to look for efficient solutions to make the best possible service quality out of the limited radio spectrum. This thesis focuses on improving the Quality of Experience (QoE) of multiple low-delay video streams in the uplink of mobile networks using Orthogonal Frequency Division Multiple Access (OFDMA). Several mobile networks like LTE and WiMAX have been using OFDMA. In that context, this thesis provides multiple contributions. The first contribution is a novel dynamic resource allocation approach, which exploits wireless channels' random variations to improve user throughput while suppressing Multiple Access Interference (MAI). MAI presents when user signals are not perfectly synchronous in the uplink of OFDMA networks. Next, the thesis presents two cross-layer video adaptation approaches, which adopt the introduced dynamic resource allocation approach. Those two approaches target low-delay video streaming services using non-layered and layered video coding. While the video industry has been broadly using non-layered video coding, layered video coding might be more prevalent in the future. Those two technologies have distinct adaptation principles, so they require different solutions tailored particularly for them. In both cases, via efficient mathematical transformations, the large-timescale problem of video adaptation (in a few seconds) is pursued via a series of small-timescale resource allocation problems (each in a few milliseconds). By doing that, video adaptation algorithms can quickly react to wireless channel variations and meet low latency requirements. As for non-layered video coding, another contribution is to consider potential throughput gains via efficient resource allocation algorithms as selecting video quality. Throughout the thesis, we develop several mathematical optimization problems and adaptation algorithms to determine the performance gain of proposed approaches.
ISBN: 9798835546572Subjects--Topical Terms:
3559205
Receivers & amplifiers.
Dynamic Resource Allocation for Low-Delay Video Streaming in the Uplink of of DMA Mobile Networks.
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In recent years, video has been inducing an exponential growth in mobile traffic. Today, mobile operators pay several billions of euros for radio frequency bands to cope with enormous traffic demands. At the same time, the enduring demand growth increasingly forces mobile operators and video service providers to look for efficient solutions to make the best possible service quality out of the limited radio spectrum. This thesis focuses on improving the Quality of Experience (QoE) of multiple low-delay video streams in the uplink of mobile networks using Orthogonal Frequency Division Multiple Access (OFDMA). Several mobile networks like LTE and WiMAX have been using OFDMA. In that context, this thesis provides multiple contributions. The first contribution is a novel dynamic resource allocation approach, which exploits wireless channels' random variations to improve user throughput while suppressing Multiple Access Interference (MAI). MAI presents when user signals are not perfectly synchronous in the uplink of OFDMA networks. Next, the thesis presents two cross-layer video adaptation approaches, which adopt the introduced dynamic resource allocation approach. Those two approaches target low-delay video streaming services using non-layered and layered video coding. While the video industry has been broadly using non-layered video coding, layered video coding might be more prevalent in the future. Those two technologies have distinct adaptation principles, so they require different solutions tailored particularly for them. In both cases, via efficient mathematical transformations, the large-timescale problem of video adaptation (in a few seconds) is pursued via a series of small-timescale resource allocation problems (each in a few milliseconds). By doing that, video adaptation algorithms can quickly react to wireless channel variations and meet low latency requirements. As for non-layered video coding, another contribution is to consider potential throughput gains via efficient resource allocation algorithms as selecting video quality. Throughout the thesis, we develop several mathematical optimization problems and adaptation algorithms to determine the performance gain of proposed approaches.
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