Fractional Frequency Reuse in distributed antenna systems in Cloud Radio Access Networks

Ying He, Eryk Dutkiewicz, Gengfa Fang, Markus Dominik Mueck

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

Abstract

A distributed antenna system (DAS) architecture is considered to be a key enabler for further Network Virtualization where different network configurations are created as needed by a centralized decision making unit that is typically integrated into the Cloud Radio Access Networks (C-RAN) which offers a potential architecture for 5G wireless communication systems. Many schemes have been proposed for Fractional Frequency Reuse (FFR) for resource allocation in the static cellular network architecture. In this paper, we investigate the effect of different FFR resource allocation approaches on the downlink cell edge users' capacity. We use a Multiset approach to model the resource allocation and interference. Targeting maximum average capacity, a closed-form lower bound of the average capacity is derived and the optimum FFR resource allocation is obtained. This provides a guide in the evaluation of DAS performance.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages907-912
Number of pages6
ISBN (Electronic)9781467363051
DOIs
Publication statusPublished - 8 Sep 2015
EventIEEE International Conference on Communication Workshop, ICCW 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Other

OtherIEEE International Conference on Communication Workshop, ICCW 2015
CountryUnited Kingdom
CityLondon
Period8/06/1512/06/15

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He, Y., Dutkiewicz, E., Fang, G., & Mueck, M. D. (2015). Fractional Frequency Reuse in distributed antenna systems in Cloud Radio Access Networks. In 2015 IEEE International Conference on Communication Workshop, ICCW 2015 (pp. 907-912). [7247291] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCW.2015.7247291