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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Won-Yong Shin Hyoseok Yi Tarokh, V. |
| Copyright Year | 2013 |
| Description | Author affiliation: Div. of Mobile Syst. Eng., Dankook Univ., Yongin, South Korea (Won-Yong Shin) || Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA (Hyoseok Yi; Tarokh, V.) |
| 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. |
| Sponsorship | IEEE Commun. Soc. |
| Starting Page | 91 |
| Ending Page | 96 |
| File Size | 488645 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467331319 |
| e-ISBN | 9781467331333 |
| DOI | 10.1109/CCNC.2013.6488431 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Throughput Green products Power control Convergence Interference Optimization Energy consumption |
| Content Type | Text |
| Resource Type | Article |
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