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Sleep period optimization model for layered video service delivery over eMBMS networks

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Sleep period optimization model for layered video service delivery over eMBMS networks. / Carlà, Lorenzo; Chiti, Francesco; Fantacci, Romano ; Tassi, Andrea.

2015 IEEE International Conference on Communications (ICC) . London : IEEE, 2015. p. 198 - 203 .

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Carlà, L, Chiti, F, Fantacci, R & Tassi, A 2015, Sleep period optimization model for layered video service delivery over eMBMS networks. in 2015 IEEE International Conference on Communications (ICC) . IEEE, London, pp. 198 - 203 . https://doi.org/10.1109/ICC.2015.7248321

APA

Carlà, L., Chiti, F., Fantacci, R., & Tassi, A. (2015). Sleep period optimization model for layered video service delivery over eMBMS networks. In 2015 IEEE International Conference on Communications (ICC) (pp. 198 - 203 ). London: IEEE. https://doi.org/10.1109/ICC.2015.7248321

Vancouver

Carlà L, Chiti F, Fantacci R, Tassi A. Sleep period optimization model for layered video service delivery over eMBMS networks. In 2015 IEEE International Conference on Communications (ICC) . London: IEEE. 2015. p. 198 - 203 https://doi.org/10.1109/ICC.2015.7248321

Author

Carlà, Lorenzo ; Chiti, Francesco ; Fantacci, Romano ; Tassi, Andrea. / Sleep period optimization model for layered video service delivery over eMBMS networks. 2015 IEEE International Conference on Communications (ICC) . London : IEEE, 2015. pp. 198 - 203

Bibtex

@inproceedings{ab0fc868828242878d76b67cabcf77ea,
title = "Sleep period optimization model for layered video service delivery over eMBMS networks",
abstract = "Long Term Evolution-Advanced (LTE-A) and the evolved Multimedia Broadcast Multicast System (eMBMS) are the most promising technologies for the delivery of highly bandwidth demanding applications. In this paper we propose a green resource allocation strategy for the delivery of layered video streams to users with different propagation conditions. The goal of the proposed model is to minimize the user energy consumption. That goal is achieved by minimizing the time required by each user to receive the broadcast data via an efficient power transmission allocation model. A key point in our system model is that the reliability of layered video communications is ensured by means of the Random Linear Network Coding (RLNC) approach. Analytical results show that the proposed resource allocation model ensures the desired quality of service constraints, while the user energy footprint is significantly reduced.",
author = "Lorenzo Carl{\`a} and Francesco Chiti and Romano Fantacci and Andrea Tassi",
year = "2015",
month = "6",
day = "8",
doi = "10.1109/ICC.2015.7248321",
language = "English",
pages = "198 -- 203",
booktitle = "2015 IEEE International Conference on Communications (ICC)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Sleep period optimization model for layered video service delivery over eMBMS networks

AU - Carlà, Lorenzo

AU - Chiti, Francesco

AU - Fantacci, Romano

AU - Tassi, Andrea

PY - 2015/6/8

Y1 - 2015/6/8

N2 - Long Term Evolution-Advanced (LTE-A) and the evolved Multimedia Broadcast Multicast System (eMBMS) are the most promising technologies for the delivery of highly bandwidth demanding applications. In this paper we propose a green resource allocation strategy for the delivery of layered video streams to users with different propagation conditions. The goal of the proposed model is to minimize the user energy consumption. That goal is achieved by minimizing the time required by each user to receive the broadcast data via an efficient power transmission allocation model. A key point in our system model is that the reliability of layered video communications is ensured by means of the Random Linear Network Coding (RLNC) approach. Analytical results show that the proposed resource allocation model ensures the desired quality of service constraints, while the user energy footprint is significantly reduced.

AB - Long Term Evolution-Advanced (LTE-A) and the evolved Multimedia Broadcast Multicast System (eMBMS) are the most promising technologies for the delivery of highly bandwidth demanding applications. In this paper we propose a green resource allocation strategy for the delivery of layered video streams to users with different propagation conditions. The goal of the proposed model is to minimize the user energy consumption. That goal is achieved by minimizing the time required by each user to receive the broadcast data via an efficient power transmission allocation model. A key point in our system model is that the reliability of layered video communications is ensured by means of the Random Linear Network Coding (RLNC) approach. Analytical results show that the proposed resource allocation model ensures the desired quality of service constraints, while the user energy footprint is significantly reduced.

U2 - 10.1109/ICC.2015.7248321

DO - 10.1109/ICC.2015.7248321

M3 - Conference contribution/Paper

SP - 198

EP - 203

BT - 2015 IEEE International Conference on Communications (ICC)

PB - IEEE

CY - London

ER -