Delay-constrained Video Transmission: A Power-efficient Resource Allocation Approach for Guaranteed Perceptual Quality

Seyed Ehsan Ghoreishi; Adnan Aijaz; Abdol-Hamid Aghvami

doi:10.1109/GLOCOM.2015.7417260

Delay-constrained Video Transmission: A Power-efficient Resource Allocation Approach for Guaranteed Perceptual Quality

Seyed Ehsan Ghoreishi, Adnan Aijaz, Abdol-Hamid Aghvami

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

74 Citations (Scopus)

350 Downloads (Pure)

Abstract

In this paper, we investigate power-efficient resource allocation for transmission of perceptual quality guaranteed video over LTE downlink under delay quality of service (QoS) constraints. We formulate the resource allocation problem as the minimization of sum power in the downlink under user-perceived quality and statistical delay QoS provisioning. We solve the problem using dual decomposition and employ the ellipsoid method to update dual variables. Experimental results have shown significant performance enhancement of the proposed system in terms of power efficiency while satisfying the statistical delay-bounded QoS and perceptual quality requirements.

Original language	English
Title of host publication	2015 IEEE Global Communications Conference (GLOBECOM)
Place of Publication	San Diego, CA, USA
Publisher	IEEE
Number of pages	7
ISBN (Print)	9781479959525
DOIs	https://doi.org/10.1109/GLOCOM.2015.7417260
Publication status	Published - Dec 2015
Event	58th IEEE Global Communications Conference - San Diego, United States Duration: 6 Dec 2015 → 10 Dec 2015

Conference

Conference	58th IEEE Global Communications Conference
Abbreviated title	GLOBECOM 2015
Country/Territory	United States
City	San Diego
Period	6/12/2015 → 10/12/2015

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title = "Delay-constrained Video Transmission: A Power-efficient Resource Allocation Approach for Guaranteed Perceptual Quality",

abstract = "In this paper, we investigate power-efficient resource allocation for transmission of perceptual quality guaranteed video over LTE downlink under delay quality of service (QoS) constraints. We formulate the resource allocation problem as the minimization of sum power in the downlink under user-perceived quality and statistical delay QoS provisioning. We solve the problem using dual decomposition and employ the ellipsoid method to update dual variables. Experimental results have shown significant performance enhancement of the proposed system in terms of power efficiency while satisfying the statistical delay-bounded QoS and perceptual quality requirements.",

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Ghoreishi, SE , Aijaz, A & Aghvami, A-H 2015, Delay-constrained Video Transmission: A Power-efficient Resource Allocation Approach for Guaranteed Perceptual Quality. in 2015 IEEE Global Communications Conference (GLOBECOM)., 7417260, IEEE, San Diego, CA, USA, 58th IEEE Global Communications Conference, San Diego, United States, 6/12/2015. https://doi.org/10.1109/GLOCOM.2015.7417260

Delay-constrained Video Transmission: A Power-efficient Resource Allocation Approach for Guaranteed Perceptual Quality. / Ghoreishi, Seyed Ehsan ; Aijaz, Adnan ; Aghvami, Abdol-Hamid.
2015 IEEE Global Communications Conference (GLOBECOM). San Diego, CA, USA: IEEE, 2015. 7417260.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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AB - In this paper, we investigate power-efficient resource allocation for transmission of perceptual quality guaranteed video over LTE downlink under delay quality of service (QoS) constraints. We formulate the resource allocation problem as the minimization of sum power in the downlink under user-perceived quality and statistical delay QoS provisioning. We solve the problem using dual decomposition and employ the ellipsoid method to update dual variables. Experimental results have shown significant performance enhancement of the proposed system in terms of power efficiency while satisfying the statistical delay-bounded QoS and perceptual quality requirements.

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Delay-constrained Video Transmission: A Power-efficient Resource Allocation Approach for Guaranteed Perceptual Quality

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