Traffic-driven power saving in operational 3G cellular networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Peng, Chunyi | - |
dc.contributor.author | Lee, Suk bok | - |
dc.contributor.author | Lu, Songwu | - |
dc.contributor.author | Luo, Haiyun | - |
dc.contributor.author | Li, Hewu | - |
dc.date.accessioned | 2021-06-23T12:03:30Z | - |
dc.date.available | 2021-06-23T12:03:30Z | - |
dc.date.issued | 2011-09 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39083 | - |
dc.description.abstract | Base stations (BSes) in the 3G cellular network are not energy proportional with respect to their carried traffic load. Our mea- surements show that 3G traffic exhibits high fluctuations both in time and over space, thus incurring energy waste. In this paper, we propose a profile-based approach to green cellular infrastruc- ture. We profile BS traffic and approximate network-wide energy proportionality using non-load-adaptive BSes. The instrument is to leverage temporal-spatial traffic diversity and node deployment heterogeneity, and power off under-utilized BSes under light traf- fic. Our evaluation on four regional 3G networks shows that this simple scheme yields up to 53% energy savings in a dense large city and 23% in a sparse, mid-sized city. © 2011 ACM. | - |
dc.format.extent | 12 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ACM | - |
dc.title | Traffic-driven power saving in operational 3G cellular networks | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1145/2030613.2030628 | - |
dc.identifier.scopusid | 2-s2.0-80053604304 | - |
dc.identifier.bibliographicCitation | Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, pp 121 - 132 | - |
dc.citation.title | Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM | - |
dc.citation.startPage | 121 | - |
dc.citation.endPage | 132 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | 3G cellular networks | - |
dc.subject.keywordPlus | 3G Networks | - |
dc.subject.keywordPlus | Cellular network | - |
dc.subject.keywordPlus | Energy wastes | - |
dc.subject.keywordPlus | Large cities | - |
dc.subject.keywordPlus | Node deployment | - |
dc.subject.keywordPlus | Power savings | - |
dc.subject.keywordPlus | Traffic loads | - |
dc.subject.keywordPlus | Cellular neural networks | - |
dc.subject.keywordPlus | Energy efficiency | - |
dc.subject.keywordPlus | Mobile computing | - |
dc.subject.keywordPlus | Energy conversion | - |
dc.subject.keywordAuthor | 3g network traffic | - |
dc.subject.keywordAuthor | cellular networks | - |
dc.subject.keywordAuthor | energy efficiency | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/2030613.2030628 | - |
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