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Coverage probability of cellular networks using interference alignment under imperfect CSI

Guiazon, RF; Wong, KK; Fitch, M; (2016) Coverage probability of cellular networks using interference alignment under imperfect CSI. Digital Communications and Networks , 2 (4) pp. 162-166. 10.1016/j.dcan.2016.10.007. Green open access

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Abstract

© 2016 Chongqing University of Posts and Telecommuniocations Interference alignment (IA) is well understood to approach the capacity of interference channels, and believed to be crucial in cellular networks in which the ability to control and exploit interference is key. However, the achievable performance of IA in cellular networks depends on the quality of channel state information (CSI) and how effective IA is in practical settings is not known. This paper studies the use of IA to mitigate inter-cell interference of cellular networks under imperfect CSI conditions. Our analysis is based on stochastic geometry where the structure of the base station (BS) locations is considered by a Poisson point process (PPP). Our main contribution is the coverage probability of the network and simulation results confirm the accuracy.

Type: Article
Title: Coverage probability of cellular networks using interference alignment under imperfect CSI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.dcan.2016.10.007
Language: English
Additional information: © 2016 Chongqing University of Posts and Telecommuniocations. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Keywords: Interference alignment, Beamforming, Coverage probability, Channel errors, Stochastic geometry,
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1569563
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