Interference alignment with limited feedback for macrocell-femtocell heterogeneous networks

Mohamed Rihan, Maha Elsabrouty, Osamu Muta, Hiroshi Furukawa

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

6 Citations (Scopus)


Interference Alignment (IA) emerged on the communication scene as a solution to the interference problem in all interference-limited networks, including heterogeneous cellular systems. However, the performance of IA is greatly related to the accuracy of the channel state information at transmitters (CSIT), namely the number of feedback bits. Accordingly, in order to improve the performance of IA, it would be useful to analyze the number of feedback bits with respect to the sum rate loss. Motivated by that, this paper studies a limited feedback-based IA scheme suitable for two tier macrocell-femtocell heterogeneous networks. First, an approximate analytical expression for the upper bound on the total sum rate loss due to limited feedback in the studied IA system, is derived. Then, a simulation based evaluation of the sum-rate loss due to the implementation of limited feedback IA in heterogeneous networks is obtained. Simulation results confirmed the severe effect of quantization of CSI on the interference alignment performance.

Original languageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980888
Publication statusPublished - Jul 1 2015
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: May 11 2015May 14 2015

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other81st IEEE Vehicular Technology Conference, VTC Spring 2015
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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