Neuron control-based power adjustment scheme for sleep two-tier cellular networks

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

2 Citations (Scopus)

Abstract

This paper proposes a self-optimizing based energy-efficient scheme with a dynamic coverage expansion of femtocells in the macro-femto two-tier networks. High SINR and low power consumption can be benefited by coordinating downlink cross-tier interference and intra-interference with a neuron control based adaptive power adjustment when sleep mode is involved in the macro base station (MBS). Moreover, by allowing open access in the hybrid femtocells, more near-indoor macro user equipments (MUEs), especially located around the edge of the macrocell can be served by indoor femto access point (FAP), which results in MBS having more of a probability to maintain sleep mode when the traffic is low. Many related performances are evaluated with a comparison of utility-based power control (UBPC) scheme, the energy impact of both MBS and FAP can be largely improved with optimal transmit power, which means the sleep mode technology can be enhanced, as shown in the simulation.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3201-3206
Number of pages6
ISBN (Print)9781479930838
DOIs
Publication statusPublished - 2014 Nov 10
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul
Duration: 2014 Apr 62014 Apr 9

Other

Other2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
CityIstanbul
Period14/4/614/4/9

Fingerprint

Neurons
Macros
Base stations
Femtocell
Power control
Electric power utilization
Sleep

Keywords

  • dynamic coverage
  • neuron control
  • optimal power
  • power adjustment
  • self-optimizing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Pan, Z., Saito, M., Liu, J., & Shimamoto, S. (2014). Neuron control-based power adjustment scheme for sleep two-tier cellular networks. In IEEE Wireless Communications and Networking Conference, WCNC (pp. 3201-3206). [6953032] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2014.6953032

Neuron control-based power adjustment scheme for sleep two-tier cellular networks. / Pan, Zhenni; Saito, Megumi; Liu, Jiang; Shimamoto, Shigeru.

IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3201-3206 6953032.

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

Pan, Z, Saito, M, Liu, J & Shimamoto, S 2014, Neuron control-based power adjustment scheme for sleep two-tier cellular networks. in IEEE Wireless Communications and Networking Conference, WCNC., 6953032, Institute of Electrical and Electronics Engineers Inc., pp. 3201-3206, 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014, Istanbul, 14/4/6. https://doi.org/10.1109/WCNC.2014.6953032
Pan Z, Saito M, Liu J, Shimamoto S. Neuron control-based power adjustment scheme for sleep two-tier cellular networks. In IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3201-3206. 6953032 https://doi.org/10.1109/WCNC.2014.6953032
Pan, Zhenni ; Saito, Megumi ; Liu, Jiang ; Shimamoto, Shigeru. / Neuron control-based power adjustment scheme for sleep two-tier cellular networks. IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3201-3206
@inproceedings{250decfacded413396c7ac6c8d00b002,
title = "Neuron control-based power adjustment scheme for sleep two-tier cellular networks",
abstract = "This paper proposes a self-optimizing based energy-efficient scheme with a dynamic coverage expansion of femtocells in the macro-femto two-tier networks. High SINR and low power consumption can be benefited by coordinating downlink cross-tier interference and intra-interference with a neuron control based adaptive power adjustment when sleep mode is involved in the macro base station (MBS). Moreover, by allowing open access in the hybrid femtocells, more near-indoor macro user equipments (MUEs), especially located around the edge of the macrocell can be served by indoor femto access point (FAP), which results in MBS having more of a probability to maintain sleep mode when the traffic is low. Many related performances are evaluated with a comparison of utility-based power control (UBPC) scheme, the energy impact of both MBS and FAP can be largely improved with optimal transmit power, which means the sleep mode technology can be enhanced, as shown in the simulation.",
keywords = "dynamic coverage, neuron control, optimal power, power adjustment, self-optimizing",
author = "Zhenni Pan and Megumi Saito and Jiang Liu and Shigeru Shimamoto",
year = "2014",
month = "11",
day = "10",
doi = "10.1109/WCNC.2014.6953032",
language = "English",
isbn = "9781479930838",
pages = "3201--3206",
booktitle = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Neuron control-based power adjustment scheme for sleep two-tier cellular networks

AU - Pan, Zhenni

AU - Saito, Megumi

AU - Liu, Jiang

AU - Shimamoto, Shigeru

PY - 2014/11/10

Y1 - 2014/11/10

N2 - This paper proposes a self-optimizing based energy-efficient scheme with a dynamic coverage expansion of femtocells in the macro-femto two-tier networks. High SINR and low power consumption can be benefited by coordinating downlink cross-tier interference and intra-interference with a neuron control based adaptive power adjustment when sleep mode is involved in the macro base station (MBS). Moreover, by allowing open access in the hybrid femtocells, more near-indoor macro user equipments (MUEs), especially located around the edge of the macrocell can be served by indoor femto access point (FAP), which results in MBS having more of a probability to maintain sleep mode when the traffic is low. Many related performances are evaluated with a comparison of utility-based power control (UBPC) scheme, the energy impact of both MBS and FAP can be largely improved with optimal transmit power, which means the sleep mode technology can be enhanced, as shown in the simulation.

AB - This paper proposes a self-optimizing based energy-efficient scheme with a dynamic coverage expansion of femtocells in the macro-femto two-tier networks. High SINR and low power consumption can be benefited by coordinating downlink cross-tier interference and intra-interference with a neuron control based adaptive power adjustment when sleep mode is involved in the macro base station (MBS). Moreover, by allowing open access in the hybrid femtocells, more near-indoor macro user equipments (MUEs), especially located around the edge of the macrocell can be served by indoor femto access point (FAP), which results in MBS having more of a probability to maintain sleep mode when the traffic is low. Many related performances are evaluated with a comparison of utility-based power control (UBPC) scheme, the energy impact of both MBS and FAP can be largely improved with optimal transmit power, which means the sleep mode technology can be enhanced, as shown in the simulation.

KW - dynamic coverage

KW - neuron control

KW - optimal power

KW - power adjustment

KW - self-optimizing

UR - http://www.scopus.com/inward/record.url?scp=84912103105&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84912103105&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2014.6953032

DO - 10.1109/WCNC.2014.6953032

M3 - Conference contribution

SN - 9781479930838

SP - 3201

EP - 3206

BT - IEEE Wireless Communications and Networking Conference, WCNC

PB - Institute of Electrical and Electronics Engineers Inc.

ER -