Sleep Period Optimization Model For Layered Video Service Delivery Over eMBMS Networks

Lorenzo Carlà; Francesco Chiti; Romano Fantacci; Andrea Tassi

Sleep Period Optimization Model For Layered Video Service Delivery Over eMBMS Networks

Lorenzo Carlà, Francesco Chiti, Romano Fantacci, Andrea Tassi

Department of Electrical & Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

16 Downloads (Pure)

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.

Original language	English
Title of host publication	IEEE ICC 2015, Selected Areas in Communications Symposium - Green Communications Track
Publication status	Published - 14 Jan 2015

Bibliographical note

Proc. of IEEE ICC 2015, Selected Areas in Communications Symposium - Green Communications Track

Keywords

cs.NI
cs.IT
cs.MM
cs.PF
math.IT

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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@inproceedings{89edb7a762a3426e88d870b5603d2a4c,

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.",

keywords = "cs.NI, cs.IT, cs.MM, cs.PF, math.IT",

author = "Lorenzo Carl{\`a} and Francesco Chiti and Romano Fantacci and Andrea Tassi",

note = "Proc. of IEEE ICC 2015, Selected Areas in Communications Symposium - Green Communications Track",

year = "2015",

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language = "English",

booktitle = "IEEE ICC 2015, Selected Areas in Communications Symposium - Green Communications Track",

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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

N1 - Proc. of IEEE ICC 2015, Selected Areas in Communications Symposium - Green Communications Track

PY - 2015/1/14

Y1 - 2015/1/14

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.

KW - cs.NI

KW - cs.IT

KW - cs.MM

KW - cs.PF

KW - math.IT

M3 - Conference Contribution (Conference Proceeding)

BT - IEEE ICC 2015, Selected Areas in Communications Symposium - Green Communications Track

ER -

Sleep Period Optimization Model For Layered Video Service Delivery Over eMBMS Networks

Abstract

Bibliographical note

Keywords

UN SDGs

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