DocumentCode
2421497
Title
Outage Probability Analysis for Collocated Spectrum-Sharing Macrocell and Femtocells
Author
Chu, Xiaoli ; Wu, Joyce Yuhua ; Wang, Haibo
Author_Institution
Centre for Telecommun. Res., King´´s Coll. London, London, UK
fYear
2011
fDate
5-9 June 2011
Firstpage
1
Lastpage
5
Abstract
Femtocells have been considered by the wireless industry as a promising solution not only to improve indoor coverage, but also to unload traffic from already overburdened macrocells. In spite of potentially excessive interference caused by densely deployed femtocells, macrocells may have to share the same spectrum with femtocells, due to spectrum availability and network infrastructure considerations. In this paper, we derive closed-form expressions for downlink outage probabilities (OP) of collocated spectrum-sharing macrocell and femtocells, based on the stochastic geometry theory. Orthogonal frequency division multiple access (OFDMA) is considered in the downlink of both macro- and femto-cells. Simulation results show that the derived OP expressions are able to predict OP performance of collocated spectrum-sharing macro- and femto-cells, and provide insights on the effects of different system and channel parameters on co-channel femtocell deployments.
Keywords
OFDM modulation; cochannel interference; femtocellular radio; frequency division multiple access; geometry; probability; stochastic processes; telecommunication traffic; OFDMA; channel parameters; closed-form expressions; cochannel femtocell deployments; collocated spectrum-sharing macrocell; excessive interference; network infrastructure; orthogonal frequency division multiple access; outage probability analysis; spectrum availability; stochastic geometry theory; wireless industry; Femtocells; Frequency modulation; Interference; Macrocell networks; Noise measurement; Simulation; Ultrafast electronics;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2011 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1550-3607
Print_ISBN
978-1-61284-232-5
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/icc.2011.5963272
Filename
5963272
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