### 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