Study of Dynamic eICIC in a Realistic Urban Deployment

Klaus I. Pedersen, Beatriz Soret, Sonia Barcos, Guillermo Andrés Pocovi Gerardino, Hua Wang

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
597 Downloads (Pure)

Abstract

In this paper, we investigate the operation of eICIC in a realistic deployment based on site specific data from a dense urban European capital area. Rather than the classical semistatic and common network-wide configuration, the importance of having highly dynamic and distributed mechanisms that are
able to adapt to local environment conditions is revealed. We propose a promising opportunistic cell association algorithm and a generalized method for fast muting adaptation. The performance results show that the traditional semi-static eICIC configuration leads to modest gains in realistic deployments, whereas the set of proposed fast dynamic eICIC algorithms leads to capacity gains on the order of 35-120% depending on the local environment
characteristics. In the analysis of the performance results for the site specific use case, it is furthermore highlighted how those deviate from typical findings from 3GPP standardized HetNet scenarios.
Original languageEnglish
Title of host publicationIEEE 81st Vehicular Technology Conference (VTC Spring), 2015
Number of pages5
PublisherIEEE Press
Publication date2015
ISBN (Electronic)978-1-4799-8088-8
DOIs
Publication statusPublished - 2015
EventIEEE Vehicular Technology Conference (VTC) - Glasgow, United Kingdom
Duration: 11 May 201514 May 2015

Conference

ConferenceIEEE Vehicular Technology Conference (VTC)
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/05/201514/05/2015
SeriesI E E E V T S Vehicular Technology Conference. Proceedings
Volume81
ISSN1550-2252

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