Dynamic power adjustment and resource allocation framework for LTE networks

Gokhan Secinti; Muge Erel Ozcevik; Kaushik R. Chowdhury; Berk Canberk

doi:10.1109/CAMAD.2016.7790342

Dynamic power adjustment and resource allocation framework for LTE networks

Gokhan Secinti, Muge Erel Ozcevik, Kaushik R. Chowdhury, Berk Canberk

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

In current LTE deployments, the unsupervised and unilateral installation of home or localized base stations, so called eNodeBs, may easily lead to excessive energy consumption and over-provisioning of network infrastructure. In this paper, we propose an energy efficient framework, which dynamically adjusts the power requirements of the system and performs Resource Block (RBs) allocation based on needs. It specifically optimizes power consumption of LTE networks consisting of under-utilized eNodeBs. The Energy Efficiency (EE) issue is formulated as an optimization problem, which trades off EE for SE without adversely impacting the downlink throughput. In order to solve this problem, we develop a heuristic approach called as Two Phase Enhanced Branch and Bound Algorithm (TPEBB) [1]. End-to-end latency, modeled by Markov queues, is used as the main metric for QoS in this study [2]. Finally, we compare the proposed framework with various competing methods to show almost 70% improvement in EE and end-to-end latency.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	122-127
Sayfa sayısı	6
ISBN (Elektronik)	9781509025589
DOI'lar	https://doi.org/10.1109/CAMAD.2016.7790342
Yayın durumu	Yayınlandı - 16 Ara 2016
Etkinlik	21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016 - Toronto, Canada Süre: 23 Eki 2016 → 25 Eki 2016

Yayın serisi

Adı	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
ISSN (Elektronik)	2378-4873

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016
Ülke/Bölge	Canada
Şehir	Toronto
Periyot	23/10/16 → 25/10/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

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Belgeye Erişim

10.1109/CAMAD.2016.7790342

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Link to publication in Scopus

Alıntı Yap

Secinti, G., Ozcevik, M. E., Chowdhury, K. R., & Canberk, B. (2016). Dynamic power adjustment and resource allocation framework for LTE networks. In 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016 (pp. 122-127). Makale 7790342 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD.2016.7790342

Secinti, Gokhan ; Ozcevik, Muge Erel ; Chowdhury, Kaushik R. et al. / Dynamic power adjustment and resource allocation framework for LTE networks. 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 122-127 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

@inproceedings{afc250d6cff6463d90ce2a6e2b8eafcd,

title = "Dynamic power adjustment and resource allocation framework for LTE networks",

abstract = "In current LTE deployments, the unsupervised and unilateral installation of home or localized base stations, so called eNodeBs, may easily lead to excessive energy consumption and over-provisioning of network infrastructure. In this paper, we propose an energy efficient framework, which dynamically adjusts the power requirements of the system and performs Resource Block (RBs) allocation based on needs. It specifically optimizes power consumption of LTE networks consisting of under-utilized eNodeBs. The Energy Efficiency (EE) issue is formulated as an optimization problem, which trades off EE for SE without adversely impacting the downlink throughput. In order to solve this problem, we develop a heuristic approach called as Two Phase Enhanced Branch and Bound Algorithm (TPEBB) [1]. End-to-end latency, modeled by Markov queues, is used as the main metric for QoS in this study [2]. Finally, we compare the proposed framework with various competing methods to show almost 70% improvement in EE and end-to-end latency.",

keywords = "Branch and Bound Algorithm, Co-tier Interference, Energy Efficiency, Power Adjustment, Resource Allocation",

author = "Gokhan Secinti and Ozcevik, {Muge Erel} and Chowdhury, {Kaushik R.} and Berk Canberk",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016 ; Conference date: 23-10-2016 Through 25-10-2016",

year = "2016",

month = dec,

day = "16",

doi = "10.1109/CAMAD.2016.7790342",

language = "English",

series = "IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD",

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Secinti, G, Ozcevik, ME, Chowdhury, KR & Canberk, B 2016, Dynamic power adjustment and resource allocation framework for LTE networks. in 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016., 7790342, IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, Institute of Electrical and Electronics Engineers Inc., pp. 122-127, 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016, Toronto, Canada, 23/10/16. https://doi.org/10.1109/CAMAD.2016.7790342

Dynamic power adjustment and resource allocation framework for LTE networks. / Secinti, Gokhan; Ozcevik, Muge Erel; Chowdhury, Kaushik R. et al.
2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 122-127 7790342 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Dynamic power adjustment and resource allocation framework for LTE networks

AU - Secinti, Gokhan

AU - Ozcevik, Muge Erel

AU - Chowdhury, Kaushik R.

AU - Canberk, Berk

PY - 2016/12/16

Y1 - 2016/12/16

N2 - In current LTE deployments, the unsupervised and unilateral installation of home or localized base stations, so called eNodeBs, may easily lead to excessive energy consumption and over-provisioning of network infrastructure. In this paper, we propose an energy efficient framework, which dynamically adjusts the power requirements of the system and performs Resource Block (RBs) allocation based on needs. It specifically optimizes power consumption of LTE networks consisting of under-utilized eNodeBs. The Energy Efficiency (EE) issue is formulated as an optimization problem, which trades off EE for SE without adversely impacting the downlink throughput. In order to solve this problem, we develop a heuristic approach called as Two Phase Enhanced Branch and Bound Algorithm (TPEBB) [1]. End-to-end latency, modeled by Markov queues, is used as the main metric for QoS in this study [2]. Finally, we compare the proposed framework with various competing methods to show almost 70% improvement in EE and end-to-end latency.

AB - In current LTE deployments, the unsupervised and unilateral installation of home or localized base stations, so called eNodeBs, may easily lead to excessive energy consumption and over-provisioning of network infrastructure. In this paper, we propose an energy efficient framework, which dynamically adjusts the power requirements of the system and performs Resource Block (RBs) allocation based on needs. It specifically optimizes power consumption of LTE networks consisting of under-utilized eNodeBs. The Energy Efficiency (EE) issue is formulated as an optimization problem, which trades off EE for SE without adversely impacting the downlink throughput. In order to solve this problem, we develop a heuristic approach called as Two Phase Enhanced Branch and Bound Algorithm (TPEBB) [1]. End-to-end latency, modeled by Markov queues, is used as the main metric for QoS in this study [2]. Finally, we compare the proposed framework with various competing methods to show almost 70% improvement in EE and end-to-end latency.

KW - Branch and Bound Algorithm

KW - Co-tier Interference

KW - Energy Efficiency

KW - Power Adjustment

KW - Resource Allocation

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DO - 10.1109/CAMAD.2016.7790342

M3 - Conference contribution

AN - SCOPUS:85018161769

T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD

SP - 122

EP - 127

BT - 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016

Y2 - 23 October 2016 through 25 October 2016

ER -

Secinti G, Ozcevik ME, Chowdhury KR, Canberk B. Dynamic power adjustment and resource allocation framework for LTE networks. In 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 122-127. 7790342. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). doi: 10.1109/CAMAD.2016.7790342

Dynamic power adjustment and resource allocation framework for LTE networks

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