Network densification

Network densification

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Network densification is a promising cellular deployment technique that leverages spatial reuse to enhance coverage and throughput. Recent work has identified that at some point ultra-densification will no longer be able to deliver significant throughput gains. Throughout this chapter, we provide a unified treatment of the performance limits and from which shed light on how to leverage the potential of network densification. We firstly show that there are three scaling regimes for the downlink signal-to-interference-plus-noise ratio (SINR), coverage probability, and average rate. Specifically, depending on the near-field pathloss and the fading distribution, the user performance of ultra dense networks would either monotonically increase, saturate, or decay with increasing network density. Secondly, we show that network performance in terms of coverage density and area spectral efficiency can benefit from increased network infrastructure better than the user performance does. Furthermore, we analytically prove that enhancing the tail distribution of channel power is a fundamental way to leverage the benefit of network densification.

Chapter Contents:

  • Abstract
  • 1.1 Introduction
  • 1.2 Modeling methodology
  • 1.2.1 Pathloss modeling
  • 1.2.2 Channel power modeling
  • 1.2.3 Network modeling
  • 1.2.4 User association modeling
  • 1.2.5 Notation
  • 1.3 User performance scaling laws
  • 1.4 Network performance scaling laws
  • 1.5 Network ordering
  • 1.6 Summary
  • Appendix A
  • A.1 Regular variation
  • A.2 Stochastic ordering
  • References

Inspec keywords: cellular radio; fading; statistical distributions

Other keywords: network coverage enhancement; SINR; fading distribution; average rate; coverage probability; downlink signal-to-interference-plus-noise ratio; cellular deployment technique; near-field pathloss; network densification; network throughput enhancement

Subjects: Other topics in statistics; Mobile radio systems

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