Location-aware pilot allocation in multicell multiuser massive MIMO networks

Noman Akbar, Shihao Yan, Nan Yang, Jinhong Yuan

Research output: Contribution to journalArticle

11 Citations (Scopus)


We propose a location-aware pilot allocation algorithm for a massive multiple-input multiple-output (MIMO) network with high-mobility users, where the wireless channels are subject to Rician fading. Pilot allocation in massive MIMO is a hard combinatorial problem and depends on the locations of users. As such, it is highly complex to achieve the optimal pilot allocation in real-time for a network with high-mobility users. Against this background, we propose a low-complexity pilot allocation algorithm, which exploits the behavior of line-of-sight (LOS) interference among the users and allocate the same pilot sequence to the users with small LOS interference. Our examination demonstrates that our proposed algorithm significantly outperforms the existing algorithms, even with localization errors. Specifically, for the system considered in this work, our proposed algorithm provides up to 37.26% improvement in sum spectral efficiency (SE) and improves the sum SE of the worst interference-affected users by up to 2.57 bits/sec/Hz, as compared to the existing algorithms.
Original languageEnglish
Pages (from-to)7774-7778
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Issue number8
Publication statusPublished - Aug 2018


  • Pilot contamination
  • location-aware communication
  • massive MIMO
  • pilot allocation

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