User load analysis and pilot sequence design for multi-cell massive MIMO networks

Noman Akbar, Nan Yang, Parastoo Sadeghi, Rodney A. Kennedy

    Research output: Contribution to journalConference articlepeer-review

    7 Citations (Scopus)

    Abstract

    We propose a novel algorithm to design user load- achieving pilot sequences that mitigate pilot contamination in multi-cell massive multiple-input multiple-output (MIMO) networks. To this end, we first derive expressions for the user load and the load region of the network considering both small- scale and large-scale propagation effects. We then develop the pilot sequence algorithm for multi- cell massive MIMO networks as per the rules of generalized Welch bound equality design. Notably, we find that our algorithm and the corresponding downlink power allocation ensure that the user load is achieved when the signal-to-interference- plus-noise ratio (SINR) requirements for the users lie within the load region. Furthermore, we demonstrate the performance advantage of our proposed design relative to the existing designs, in terms of a larger load region and a higher maximum permitted SINR. Finally, we show that our proposed design can satisfy the pre-defined SINR requirements for users with a finite number of antennas at the base station (BS), while the existing designs cannot satisfy the same requirements even with an infinite number of antennas at the BS.

    Original languageEnglish
    Article number7842365
    JournalProceedings - IEEE Global Communications Conference, GLOBECOM
    DOIs
    Publication statusPublished - 2016
    Event59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
    Duration: 4 Dec 20168 Dec 2016

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