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

Istanbul Technical University
Northeastern University

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	122-127
Number of pages	6
ISBN (Electronic)	9781509025589
DOIs	https://doi.org/10.1109/CAMAD.2016.7790342
Publication status	Published - 16 Dec 2016
Event	21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016 - Toronto, Canada Duration: 23 Oct 2016 → 25 Oct 2016

Publication series

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

Conference

Conference	21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016
Country/Territory	Canada
City	Toronto
Period	23/10/16 → 25/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Branch and Bound Algorithm
Co-tier Interference
Energy Efficiency
Power Adjustment
Resource Allocation

Access to Document

10.1109/CAMAD.2016.7790342

Cite this

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). Article 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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "122--127",

booktitle = "2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2016",

address = "United States",

}

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).

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

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

UR - https://www.scopus.com/pages/publications/85018161769

U2 - 10.1109/CAMAD.2016.7790342

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this