Performance of the blind interference alignment using ESPAR antennas

Rongrong Qian, Mathini Sellathurai

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

9 Citations (Scopus)


Recently, a technique entitled 'Blind Interference Alignment (BIA)' was proposed, which allows interference alignment to be achieved without the knowledge of channel state information at the transmitter. The key to realizing the BIA scheme is the use of a receive antenna capable of switching among multiple beampatterns. The ESPAR antenna, which uses only a single RF front-end, is capable of forming different directional beampatterns by the use of circular permutations of the reactive loads of the passive elements. We introduce the ESPAR antenna as a potential solution for the practical implementation of the BIA for broadcast channel as well as cellular. The BIA scheme is accomplished by the transmission strategy jointly coordinating with the ESPAR beampattern switching symbol-wise. The ESPAR beampattern switching provides the necessary channel diversity for receiving users. Simulation results demonstrate that the ESPAR beam steering can be designed to improve the performance of the BIA scheme by enhancing the receive signal-to-noise ratio (SNR). Furthermore, we study the proposed BIA scheme for a simple 1-dimensional cellular setting to illustrate that the ESPAR beamforming can improve the performance of the cell-edge users through further suppressing the remaining inter-cell interference.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Communications (ICC)
Number of pages5
ISBN (Print)9781467331227
Publication statusPublished - 2013
Event2013 IEEE International Conference on Communications - Budapest, Hungary, Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013


Conference2013 IEEE International Conference on Communications
Abbreviated titleICC 2013


  • Blind Interference Alignment
  • Cellular
  • MIMO

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications


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