### Abstract

We consider the problem of energy-efficient base-station (BS) planning for green cellular network design. There exist a number of criteria for greenness in the literature, but we focus only on the energy-normalized throughput. We first model energy consumption for a heterogeneous network, consisting of macro and micro base-stations, and a network topology. Then, we propose an iterative algorithm for the green BS planning problem in the one-dimensional case: 1) We find the positions of base-stations that maximize the energy-normalized throughput for a fixed number of base-stations, and 2) find the optimal number of base-stations which maximizes the energy-normalized throughput. In this work, we evaluate the energy-normalized throughput accounting for adaptive modulation rates with power control, which is a common feature of modern communications systems. The convergence to a local maximum for the proposed algorithm is shown using computer simulations, and the corresponding energy-normalized throughputs are evaluated for a number of system model parameters.

Original language | English |
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Title of host publication | 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013 |

Pages | 91-96 |

Number of pages | 6 |

DOIs | |

Publication status | Published - 2013 Apr 15 |

Event | 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013 - Las Vegas, NV, United States Duration: 2013 Jan 11 → 2013 Jan 14 |

### Publication series

Name | 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013 |
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### Conference

Conference | 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013 |
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Country | United States |

City | Las Vegas, NV |

Period | 13/1/11 → 13/1/14 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Computer Networks and Communications
- Communication

### Cite this

*2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013*(pp. 91-96). [6488431] (2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013). https://doi.org/10.1109/CCNC.2013.6488431

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*2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013.*, 6488431, 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013, pp. 91-96, 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013, Las Vegas, NV, United States, 13/1/11. https://doi.org/10.1109/CCNC.2013.6488431

**Energy-efficient base-station topologies for green cellular networks.** / Shin, Won Yong; Yi, Hyoseok; Tarokh, Vahid.

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

TY - GEN

T1 - Energy-efficient base-station topologies for green cellular networks

AU - Shin, Won Yong

AU - Yi, Hyoseok

AU - Tarokh, Vahid

PY - 2013/4/15

Y1 - 2013/4/15

N2 - We consider the problem of energy-efficient base-station (BS) planning for green cellular network design. There exist a number of criteria for greenness in the literature, but we focus only on the energy-normalized throughput. We first model energy consumption for a heterogeneous network, consisting of macro and micro base-stations, and a network topology. Then, we propose an iterative algorithm for the green BS planning problem in the one-dimensional case: 1) We find the positions of base-stations that maximize the energy-normalized throughput for a fixed number of base-stations, and 2) find the optimal number of base-stations which maximizes the energy-normalized throughput. In this work, we evaluate the energy-normalized throughput accounting for adaptive modulation rates with power control, which is a common feature of modern communications systems. The convergence to a local maximum for the proposed algorithm is shown using computer simulations, and the corresponding energy-normalized throughputs are evaluated for a number of system model parameters.

AB - We consider the problem of energy-efficient base-station (BS) planning for green cellular network design. There exist a number of criteria for greenness in the literature, but we focus only on the energy-normalized throughput. We first model energy consumption for a heterogeneous network, consisting of macro and micro base-stations, and a network topology. Then, we propose an iterative algorithm for the green BS planning problem in the one-dimensional case: 1) We find the positions of base-stations that maximize the energy-normalized throughput for a fixed number of base-stations, and 2) find the optimal number of base-stations which maximizes the energy-normalized throughput. In this work, we evaluate the energy-normalized throughput accounting for adaptive modulation rates with power control, which is a common feature of modern communications systems. The convergence to a local maximum for the proposed algorithm is shown using computer simulations, and the corresponding energy-normalized throughputs are evaluated for a number of system model parameters.

UR - http://www.scopus.com/inward/record.url?scp=84875996902&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875996902&partnerID=8YFLogxK

U2 - 10.1109/CCNC.2013.6488431

DO - 10.1109/CCNC.2013.6488431

M3 - Conference contribution

AN - SCOPUS:84875996902

SN - 9781467331333

T3 - 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013

SP - 91

EP - 96

BT - 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013

ER -