Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

Vaia Kalokidou, Angela Doufexi, Mark Beach

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Enhanced network capacity and reduced overhead will be some of the future communication networks requirements. In the absence of Channel State Information (CSI) at the transmitter, Blind Interference Alignment (Blind IA) has shown that optimal Degrees of Freedom (DoF) can be achieved, minimizing network's overhead. Limited spectrum is a basic issue that millimeter-Wave (mmWave) frequencies can resolve in 5G systems. Our contribution is an interference management scheme, based on Blind IA that can be employed in multi-cell, slow-fading, mmWave networks. Blind IA manages inter- and intra-cell interference by antenna selection and appropriate message scheduling. We show that our proposed scheme achieves considerably higher sum rate than TDMA, and overall outperforms TDMA in terms of Degrees of Freedom (DoF) in most cases. Also, Blind IA provides better Bit Error Rate (BER) performance and fairness, in terms of scheduling, to the network users.
Original languageEnglish
Title of host publication2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781538663585
Publication statusPublished - 12 Apr 2019
Event2018 IEEE 88th Vehicular Technology Conference - Chicago, United States
Duration: 27 Aug 201830 Aug 2018


Conference2018 IEEE 88th Vehicular Technology Conference
Abbreviated titleVTC2018-Fall
Country/TerritoryUnited States


  • beamforming
  • blind interference alignment
  • interference management
  • mmWave


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