Scalable video coding-based MIMO broadcasting system with optimal power control

Yong I. Choi; Chung G. Kang

doi:10.1109/TBC.2016.2630310

Scalable video coding-based MIMO broadcasting system with optimal power control

Yong I. Choi, Chung G. Kang

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

This paper presents a scalable video coding (SVC)-based open-loop multi-input multioutput (MIMO) scheme for broadcast services such as LTE broadcast/evolved multimedia broadcast multicast service and terrestrial broadcast TV/ATSC 3.0. It intends to guarantee the minimum essential information (as a base layer) and obtain additional information for improving the video quality (as enhancement layers) when multiple transmit and receive antennas are employed. Two types of SVC-based open-loop MIMO broadcasting schemes are considered: 1) SVC-MIMO-time division multiplexing (TDM) and 2) SVCMIMO- spatial multiplexing (SM). They provide differentiated video quality that depends on the average channel gain of individual users by employing different modulation and coding scheme (MCS) levels for unequal error protection of individual layers, i.e., a lower MCS level for the base layer and a higher MCS level for the enhancement layers. In particular, SVC-MIMO-SM extends the per-layer service coverage by performing a block-wise successive interference cancellation (SIC) from the base layer up to the highest enhancement layer in the receiver. As a result, the base layer can be decoded with the most robust MCS while the enhancement layers can be decoded with an SIC diversity gain. Furthermore, we formulate an optimal power allocation problem for the SVC-MIMO-SM scheme that can maximize the average system utility function while ensuring the target service coverage. Optimal solutions for different cases are derived by identifying the Karush-Kuhn-Tucker conditions for the given problem. Our numerical results demonstrate that the optimal power allocation provides more average system utility gain than SVC-MIMO-TDM and SVC-MIMO-SM without power control schemes, indicating the enhancement in the per-layer service coverage performance.

Original language	English
Article number	7792571
Pages (from-to)	350-360
Number of pages	11
Journal	IEEE Transactions on Broadcasting
Volume	63
Issue number	2
DOIs	https://doi.org/10.1109/TBC.2016.2630310
Publication status	Published - 2017 Jun

Bibliographical note

Funding Information:
This work was supported in part by the Korea Communications Commission under Grant 10912-03001, and in part by the Institute for Information and Communications Technology Promotion Grant through the Korea Government (MSIP; Development of 5G Mobile Communication Technologies for Hyper-Connected Smart Services) under Grant R0101-16-244.

Publisher Copyright:
© 2016 IEEE.

Keywords

KKT condition
Multi-input multi-output (MIMO)
Power control
Scalable video coding (SVC)
Successive interference cancellation (SIC)
Video broadcasting

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/TBC.2016.2630310

Cite this

@article{05827dec090c4406a16a7621551ab361,

title = "Scalable video coding-based MIMO broadcasting system with optimal power control",

abstract = "This paper presents a scalable video coding (SVC)-based open-loop multi-input multioutput (MIMO) scheme for broadcast services such as LTE broadcast/evolved multimedia broadcast multicast service and terrestrial broadcast TV/ATSC 3.0. It intends to guarantee the minimum essential information (as a base layer) and obtain additional information for improving the video quality (as enhancement layers) when multiple transmit and receive antennas are employed. Two types of SVC-based open-loop MIMO broadcasting schemes are considered: 1) SVC-MIMO-time division multiplexing (TDM) and 2) SVCMIMO- spatial multiplexing (SM). They provide differentiated video quality that depends on the average channel gain of individual users by employing different modulation and coding scheme (MCS) levels for unequal error protection of individual layers, i.e., a lower MCS level for the base layer and a higher MCS level for the enhancement layers. In particular, SVC-MIMO-SM extends the per-layer service coverage by performing a block-wise successive interference cancellation (SIC) from the base layer up to the highest enhancement layer in the receiver. As a result, the base layer can be decoded with the most robust MCS while the enhancement layers can be decoded with an SIC diversity gain. Furthermore, we formulate an optimal power allocation problem for the SVC-MIMO-SM scheme that can maximize the average system utility function while ensuring the target service coverage. Optimal solutions for different cases are derived by identifying the Karush-Kuhn-Tucker conditions for the given problem. Our numerical results demonstrate that the optimal power allocation provides more average system utility gain than SVC-MIMO-TDM and SVC-MIMO-SM without power control schemes, indicating the enhancement in the per-layer service coverage performance.",

keywords = "KKT condition, Multi-input multi-output (MIMO), Power control, Scalable video coding (SVC), Successive interference cancellation (SIC), Video broadcasting",

author = "Choi, {Yong I.} and Kang, {Chung G.}",

note = "Funding Information: This work was supported in part by the Korea Communications Commission under Grant 10912-03001, and in part by the Institute for Information and Communications Technology Promotion Grant through the Korea Government (MSIP; Development of 5G Mobile Communication Technologies for Hyper-Connected Smart Services) under Grant R0101-16-244. Publisher Copyright: {\textcopyright} 2016 IEEE.",

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N2 - This paper presents a scalable video coding (SVC)-based open-loop multi-input multioutput (MIMO) scheme for broadcast services such as LTE broadcast/evolved multimedia broadcast multicast service and terrestrial broadcast TV/ATSC 3.0. It intends to guarantee the minimum essential information (as a base layer) and obtain additional information for improving the video quality (as enhancement layers) when multiple transmit and receive antennas are employed. Two types of SVC-based open-loop MIMO broadcasting schemes are considered: 1) SVC-MIMO-time division multiplexing (TDM) and 2) SVCMIMO- spatial multiplexing (SM). They provide differentiated video quality that depends on the average channel gain of individual users by employing different modulation and coding scheme (MCS) levels for unequal error protection of individual layers, i.e., a lower MCS level for the base layer and a higher MCS level for the enhancement layers. In particular, SVC-MIMO-SM extends the per-layer service coverage by performing a block-wise successive interference cancellation (SIC) from the base layer up to the highest enhancement layer in the receiver. As a result, the base layer can be decoded with the most robust MCS while the enhancement layers can be decoded with an SIC diversity gain. Furthermore, we formulate an optimal power allocation problem for the SVC-MIMO-SM scheme that can maximize the average system utility function while ensuring the target service coverage. Optimal solutions for different cases are derived by identifying the Karush-Kuhn-Tucker conditions for the given problem. Our numerical results demonstrate that the optimal power allocation provides more average system utility gain than SVC-MIMO-TDM and SVC-MIMO-SM without power control schemes, indicating the enhancement in the per-layer service coverage performance.

AB - This paper presents a scalable video coding (SVC)-based open-loop multi-input multioutput (MIMO) scheme for broadcast services such as LTE broadcast/evolved multimedia broadcast multicast service and terrestrial broadcast TV/ATSC 3.0. It intends to guarantee the minimum essential information (as a base layer) and obtain additional information for improving the video quality (as enhancement layers) when multiple transmit and receive antennas are employed. Two types of SVC-based open-loop MIMO broadcasting schemes are considered: 1) SVC-MIMO-time division multiplexing (TDM) and 2) SVCMIMO- spatial multiplexing (SM). They provide differentiated video quality that depends on the average channel gain of individual users by employing different modulation and coding scheme (MCS) levels for unequal error protection of individual layers, i.e., a lower MCS level for the base layer and a higher MCS level for the enhancement layers. In particular, SVC-MIMO-SM extends the per-layer service coverage by performing a block-wise successive interference cancellation (SIC) from the base layer up to the highest enhancement layer in the receiver. As a result, the base layer can be decoded with the most robust MCS while the enhancement layers can be decoded with an SIC diversity gain. Furthermore, we formulate an optimal power allocation problem for the SVC-MIMO-SM scheme that can maximize the average system utility function while ensuring the target service coverage. Optimal solutions for different cases are derived by identifying the Karush-Kuhn-Tucker conditions for the given problem. Our numerical results demonstrate that the optimal power allocation provides more average system utility gain than SVC-MIMO-TDM and SVC-MIMO-SM without power control schemes, indicating the enhancement in the per-layer service coverage performance.

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KW - Scalable video coding (SVC)

KW - Successive interference cancellation (SIC)

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JO - IEEE Transactions on Broadcasting

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M1 - 7792571

ER -

Scalable video coding-based MIMO broadcasting system with optimal power control

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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