Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks

Bo Gu, Mianxiong Dong, Zhi Liu, Cheng Zhang, Yoshiaki Tanaka

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    The ongoing evolution of personal mobile devices capabilities and wireless technologies result in a huge growth of traffic on mobile networks (3G/4G). One of the most promising approaches to handle this data crisis is to offload the fast growing traffic onto femtocell networks. Since both the 3G/4G macrocell and femtocells operate on the same licensed spectrum, the cross-tier interference should be well managed. In this paper, we propose a utility-based transmission power allocation policy for the uplink transmission in femtocell networks. Our main motivation is to design the transmission power allocation policy aiming at optimizing the joint utility of femtocell users (FUs) subject to a interference temperature constraint at the macrocell base station (MBS) side. We provide a novel floating-ceiling water-filling (FCWF) algorithm with little computational overhead to obtain the optimal solution for the joint utility optimization problem. Numerical results confirm that the joint utility and average SINR can be significant improved with the proposed method.

    Original languageEnglish
    Title of host publication2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    Volume2018-January
    ISBN (Electronic)9781509050192
    DOIs
    Publication statusPublished - 2018 Jan 10
    Event2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
    Duration: 2017 Dec 42017 Dec 8

    Other

    Other2017 IEEE Global Communications Conference, GLOBECOM 2017
    CountrySingapore
    CitySingapore
    Period17/12/417/12/8

    Fingerprint

    Femtocell
    Power transmission
    Water
    Ceilings
    Telecommunication traffic
    Mobile devices
    Base stations
    Wireless networks
    Temperature

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Hardware and Architecture
    • Safety, Risk, Reliability and Quality

    Cite this

    Gu, B., Dong, M., Liu, Z., Zhang, C., & Tanaka, Y. (2018). Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings (Vol. 2018-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2017.8254060

    Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks. / Gu, Bo; Dong, Mianxiong; Liu, Zhi; Zhang, Cheng; Tanaka, Yoshiaki.

    2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Gu, B, Dong, M, Liu, Z, Zhang, C & Tanaka, Y 2018, Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks. in 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, Singapore, 17/12/4. https://doi.org/10.1109/GLOCOM.2017.8254060
    Gu B, Dong M, Liu Z, Zhang C, Tanaka Y. Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/GLOCOM.2017.8254060
    Gu, Bo ; Dong, Mianxiong ; Liu, Zhi ; Zhang, Cheng ; Tanaka, Yoshiaki. / Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks. 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
    @inproceedings{05caea6ad17d460e9cd619b1613f3880,
    title = "Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks",
    abstract = "The ongoing evolution of personal mobile devices capabilities and wireless technologies result in a huge growth of traffic on mobile networks (3G/4G). One of the most promising approaches to handle this data crisis is to offload the fast growing traffic onto femtocell networks. Since both the 3G/4G macrocell and femtocells operate on the same licensed spectrum, the cross-tier interference should be well managed. In this paper, we propose a utility-based transmission power allocation policy for the uplink transmission in femtocell networks. Our main motivation is to design the transmission power allocation policy aiming at optimizing the joint utility of femtocell users (FUs) subject to a interference temperature constraint at the macrocell base station (MBS) side. We provide a novel floating-ceiling water-filling (FCWF) algorithm with little computational overhead to obtain the optimal solution for the joint utility optimization problem. Numerical results confirm that the joint utility and average SINR can be significant improved with the proposed method.",
    author = "Bo Gu and Mianxiong Dong and Zhi Liu and Cheng Zhang and Yoshiaki Tanaka",
    year = "2018",
    month = "1",
    day = "10",
    doi = "10.1109/GLOCOM.2017.8254060",
    language = "English",
    volume = "2018-January",
    pages = "1--6",
    booktitle = "2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",

    }

    TY - GEN

    T1 - Water-Filling Power Allocation Algorithm for Joint Utility Optimization in Femtocell Networks

    AU - Gu, Bo

    AU - Dong, Mianxiong

    AU - Liu, Zhi

    AU - Zhang, Cheng

    AU - Tanaka, Yoshiaki

    PY - 2018/1/10

    Y1 - 2018/1/10

    N2 - The ongoing evolution of personal mobile devices capabilities and wireless technologies result in a huge growth of traffic on mobile networks (3G/4G). One of the most promising approaches to handle this data crisis is to offload the fast growing traffic onto femtocell networks. Since both the 3G/4G macrocell and femtocells operate on the same licensed spectrum, the cross-tier interference should be well managed. In this paper, we propose a utility-based transmission power allocation policy for the uplink transmission in femtocell networks. Our main motivation is to design the transmission power allocation policy aiming at optimizing the joint utility of femtocell users (FUs) subject to a interference temperature constraint at the macrocell base station (MBS) side. We provide a novel floating-ceiling water-filling (FCWF) algorithm with little computational overhead to obtain the optimal solution for the joint utility optimization problem. Numerical results confirm that the joint utility and average SINR can be significant improved with the proposed method.

    AB - The ongoing evolution of personal mobile devices capabilities and wireless technologies result in a huge growth of traffic on mobile networks (3G/4G). One of the most promising approaches to handle this data crisis is to offload the fast growing traffic onto femtocell networks. Since both the 3G/4G macrocell and femtocells operate on the same licensed spectrum, the cross-tier interference should be well managed. In this paper, we propose a utility-based transmission power allocation policy for the uplink transmission in femtocell networks. Our main motivation is to design the transmission power allocation policy aiming at optimizing the joint utility of femtocell users (FUs) subject to a interference temperature constraint at the macrocell base station (MBS) side. We provide a novel floating-ceiling water-filling (FCWF) algorithm with little computational overhead to obtain the optimal solution for the joint utility optimization problem. Numerical results confirm that the joint utility and average SINR can be significant improved with the proposed method.

    UR - http://www.scopus.com/inward/record.url?scp=85046349248&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85046349248&partnerID=8YFLogxK

    U2 - 10.1109/GLOCOM.2017.8254060

    DO - 10.1109/GLOCOM.2017.8254060

    M3 - Conference contribution

    VL - 2018-January

    SP - 1

    EP - 6

    BT - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -