Energy efficiency for cloud-radio access networks with imperfect channel state information

Bayan Al-Oquibi; Osama Amin; Hayssam Dahrouj; Tareq Y. Al-Naffouri; Mohamed-Slim Alouini

doi:10.1109/PIMRC.2016.7794612

Energy efficiency for cloud-radio access networks with imperfect channel state information

Bayan Al-Oquibi, Osama Amin, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The advent of smartphones and tablets over the past several years has resulted in a drastic increase of global carbon footprint, due to the explosive growth of data traffic. Improving energy efficiency (EE) becomes, therefore, a crucial design metric in next generation wireless systems (5G). Cloud radio access network (C-RAN), a promising 5G network architecture, provides an efficient framework for improving the EE performance, by means of coordinating the transmission across the network. This paper considers a C-RAN system formed by several clusters of remote radio heads (RRHs), each serving a predetermined set of mobile users (MUs), and assumes imperfect channel state information (CSI). The network performance becomes therefore a function of the intra-cluster and inter-cluster interference, as well as the channel estimation error. The paper optimizes the transmit power of each RRH in order to maximize the network global EE subject to MU service rate requirements and RRHs maximum power constraints. The paper proposes solving the optimization problem using a heuristic algorithm based on techniques from optimization theory via a two-stage iterative solution. Simulation results show that the proposed power allocation algorithm provides an appreciable performance improvement as compared to the conventional systems with maximum power transmission strategy. They further highlight the convergence of the proposed algorithm for different networks scenarios.

Original language	English (US)
Title of host publication	2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	9781509032549
DOIs	https://doi.org/10.1109/PIMRC.2016.7794612
State	Published - Dec 24 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Hayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.

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

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10.1109/PIMRC.2016.7794612

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Al-Oquibi, B., Amin, O., Dahrouj, H., Al-Naffouri, T. Y., & Alouini, M.-S. (2016). Energy efficiency for cloud-radio access networks with imperfect channel state information. In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIMRC.2016.7794612

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title = "Energy efficiency for cloud-radio access networks with imperfect channel state information",

abstract = "The advent of smartphones and tablets over the past several years has resulted in a drastic increase of global carbon footprint, due to the explosive growth of data traffic. Improving energy efficiency (EE) becomes, therefore, a crucial design metric in next generation wireless systems (5G). Cloud radio access network (C-RAN), a promising 5G network architecture, provides an efficient framework for improving the EE performance, by means of coordinating the transmission across the network. This paper considers a C-RAN system formed by several clusters of remote radio heads (RRHs), each serving a predetermined set of mobile users (MUs), and assumes imperfect channel state information (CSI). The network performance becomes therefore a function of the intra-cluster and inter-cluster interference, as well as the channel estimation error. The paper optimizes the transmit power of each RRH in order to maximize the network global EE subject to MU service rate requirements and RRHs maximum power constraints. The paper proposes solving the optimization problem using a heuristic algorithm based on techniques from optimization theory via a two-stage iterative solution. Simulation results show that the proposed power allocation algorithm provides an appreciable performance improvement as compared to the conventional systems with maximum power transmission strategy. They further highlight the convergence of the proposed algorithm for different networks scenarios.",

author = "Bayan Al-Oquibi and Osama Amin and Hayssam Dahrouj and Al-Naffouri, {Tareq Y.} and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: Hayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.",

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Al-Oquibi, B, Amin, O, Dahrouj, H, Al-Naffouri, TY & Alouini, M-S 2016, Energy efficiency for cloud-radio access networks with imperfect channel state information. in 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIMRC.2016.7794612

Energy efficiency for cloud-radio access networks with imperfect channel state information. / Al-Oquibi, Bayan; Amin, Osama; Dahrouj, Hayssam et al.
2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Institute of Electrical and Electronics Engineers (IEEE), 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Energy efficiency for cloud-radio access networks with imperfect channel state information

AU - Al-Oquibi, Bayan

AU - Amin, Osama

AU - Dahrouj, Hayssam

AU - Al-Naffouri, Tareq Y.

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: Hayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.

PY - 2016/12/24

Y1 - 2016/12/24

N2 - The advent of smartphones and tablets over the past several years has resulted in a drastic increase of global carbon footprint, due to the explosive growth of data traffic. Improving energy efficiency (EE) becomes, therefore, a crucial design metric in next generation wireless systems (5G). Cloud radio access network (C-RAN), a promising 5G network architecture, provides an efficient framework for improving the EE performance, by means of coordinating the transmission across the network. This paper considers a C-RAN system formed by several clusters of remote radio heads (RRHs), each serving a predetermined set of mobile users (MUs), and assumes imperfect channel state information (CSI). The network performance becomes therefore a function of the intra-cluster and inter-cluster interference, as well as the channel estimation error. The paper optimizes the transmit power of each RRH in order to maximize the network global EE subject to MU service rate requirements and RRHs maximum power constraints. The paper proposes solving the optimization problem using a heuristic algorithm based on techniques from optimization theory via a two-stage iterative solution. Simulation results show that the proposed power allocation algorithm provides an appreciable performance improvement as compared to the conventional systems with maximum power transmission strategy. They further highlight the convergence of the proposed algorithm for different networks scenarios.

AB - The advent of smartphones and tablets over the past several years has resulted in a drastic increase of global carbon footprint, due to the explosive growth of data traffic. Improving energy efficiency (EE) becomes, therefore, a crucial design metric in next generation wireless systems (5G). Cloud radio access network (C-RAN), a promising 5G network architecture, provides an efficient framework for improving the EE performance, by means of coordinating the transmission across the network. This paper considers a C-RAN system formed by several clusters of remote radio heads (RRHs), each serving a predetermined set of mobile users (MUs), and assumes imperfect channel state information (CSI). The network performance becomes therefore a function of the intra-cluster and inter-cluster interference, as well as the channel estimation error. The paper optimizes the transmit power of each RRH in order to maximize the network global EE subject to MU service rate requirements and RRHs maximum power constraints. The paper proposes solving the optimization problem using a heuristic algorithm based on techniques from optimization theory via a two-stage iterative solution. Simulation results show that the proposed power allocation algorithm provides an appreciable performance improvement as compared to the conventional systems with maximum power transmission strategy. They further highlight the convergence of the proposed algorithm for different networks scenarios.

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DO - 10.1109/PIMRC.2016.7794612

M3 - Conference contribution

SN - 9781509032549

BT - 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Energy efficiency for cloud-radio access networks with imperfect channel state information

Abstract

Bibliographical note

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