Sum-Rate Maximization in Sub-28-GHz Millimeter-Wave MIMO Interfering Networks

Hadi Ghauch*, Taejoon Kim, Mats Bengtsson, Mikael Skoglund

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

14 Citations (Scopus)

Abstract

MIMO systems in the lower part of the millimetre-wave (mmWave) spectrum band (i.e., below 28 GHz) do not exhibit enough directivity and selectively, as compared to their counterparts in higher bands of the spectrum (i.e., above 60 GHz), and thus still suffer from the detrimental effect of interference, on the system sum rate. As such systems exhibit large numbers of antennas and short coherence times for the channel, traditional methods of distributed coordination are ill-suited, and the resulting communication overhead would offset the gains of coordination. In this paper, we propose algorithms for tackling the sum-rate maximization problem that are designed to address the above-mentioned limitations. We derive a lower bound on the sum rate, a so-called difference of log and trace (DLT) bound, shed light on its tightness, and highlight its decoupled nature at both the transmitters and receivers. Moreover, we derive the solution to each of the subproblems that we dub nonhomogeneous waterfilling (a variation on the MIMO waterfilling solution), and underline an inherent desirable feature: its ability to turn-OFF streams exhibiting low SINR, and contribute to greatly speeding up the convergence of the proposed algorithm. We then show the convergence of the resulting algorithm, max-DLT, to a stationary point of the DLT bound. Finally, we rely on extensive simulations of various network configurations, to establish the fast-converging nature of our proposed schemes, and thus their suitability for addressing the short coherence interval, as well as the increased system dimensions, arising when managing interference in lower bands of the mmWave spectrum. Moreover, our results suggest that interference management still brings about significant performance gains, especially in dense deployments.
Original languageEnglish
Pages (from-to)1649-1662
JournalIEEE Journal on Selected Areas in Communications
Volume35
Issue number7
Online published27 Apr 2017
DOIs
Publication statusPublished - Jul 2017

Research Keywords

  • alternating iterative maximal separation (AIMS)
  • difference of log and trace (DLT)
  • distributed optimization
  • fast-converging algorithms
  • interference management
  • max-DLT
  • non-homogeneous waterfilling
  • Sub-28 GHz millimeter-wave

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