GreenBSN: Enabling Energy-Proportional Cellular Base Station Networks
- Authors
- Peng, Chunyi; Lee, Suk-Bok; Lu, Songwu; Luo, Haiyun
- Issue Date
- Nov-2014
- Publisher
- Institute of Electrical and Electronics Engineers
- Keywords
- Energy efficiency; cellular networks; communication system traffic
- Citation
- IEEE Transactions on Mobile Computing, v.13, no.11, pp 2537 - 2551
- Pages
- 15
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Mobile Computing
- Volume
- 13
- Number
- 11
- Start Page
- 2537
- End Page
- 2551
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/21495
- DOI
- 10.1109/TMC.2014.2307322
- ISSN
- 1536-1233
1558-0660
- Abstract
- Base station (BS) networks in 3G cellular infrastructure do not consume energy in proportion to their carried traffic load. Our measurements show that the 3G traffic exhibits high fluctuations both in time and over space, thus incurring energy waste. In this paper, we propose Green base station networks (GreenBSN) to approximate network-wide energy proportionality using non-loadadaptive BSes. The instrument is a traffic-driven approach. By leveraging the inherent temporal-spatial traffic dynamics and node deployment heterogeneity, we power off under-utilized BSes under light traffic. Our evaluation on four regional 3G networks shows that GreenBSN yields up to 53 percent energy savings in dense large cities and 23 percent in sparsely deployed regions.
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