Abstract

Emerging cellular technologies such as those proposed for use in 5G communications will accommodate a wide range of usage scenarios with diverse link requirements. This will include the necessity to operate over a versatile set of wireless channels ranging from indoor to outdoor, from line-of-sight (LOS) to non-LOS, and from circularly symmetric scattering to environments which promote the clustering of scattered multipath waves. Unfortunately, many of the conventional fading models adopted in the literature to develop network models lack the flexibility to account for such disparate signal propagation mechanisms. To bridge the gap between theory and practical channels, we consider $\kappa$-$\mu$ shadowed fading, which contains as special cases, the majority of the linear fading models proposed in the open literature, including Rayleigh, Rician, Nakagami-m, Nakagami-q, One-sided Gaussian, $\kappa$-$\mu$, $\eta$-$\mu$, and Rician shadowed to name but a few. In particular, we apply an orthogonal expansion to represent the $\kappa$-$\mu$ shadowed fading distribution as a simplified series expression. Then using the series expressions with stochastic geometry, we propose an analytic framework to evaluate the average of an arbitrary function of the SINR over $\kappa$-$\mu$ shadowed fading channels. Using the proposed method, we evaluate the spectral efficiency, moments of the SINR, bit error probability and outage probability of a $K$-tier HetNet with $K$ classes of BSs, differing in terms of the transmit power, BS density, shadowing characteristics and small-scale fading. Building upon these results, we provide important new insights into the network performance of these emerging wireless applications while considering a diverse range of fading conditions and link qualities.

Highlights

  • To meet the ever-increasing demand for data on the move, telecommunications industries, as well as global standardization entities, are actively driving the research and development of the fifth generation (5G) of wireless communications

  • The probability density function (PDF) of the aggregate interference and the outage probability were analyzed for cellular networks in [5], [6], which were generalized to the case of heterogeneous cellular networks (HetNets) in [7]–[11]1

  • It may be utilized to evaluate any performance measure that can be represented as a function of signal-to-noise-plus-interference ratio (SINR), e.g., the spectral efficiency, outage probability, moments of the SINR, and error probability

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Summary

INTRODUCTION

To meet the ever-increasing demand for data on the move, telecommunications industries, as well as global standardization entities, are actively driving the research and development of the fifth generation (5G) of wireless communications. If one applies the conversion method to small-scale fading, the resulting equivalent model will have no fading, thereby the Laplace transform-based approach can not be utilized. This presents significant challenges when extending the analyses from Rayleigh fading to the more general fading models We overcome this problem by analyzing the Laplace transform of the interference over κ-μ shadowed channels to characterize the distribution of the interference from cellular user equipment (UE). We observe the trade-off relation between the rate and average SINR based on the channel parameters, such as the intensity of dominant signal components, the number of scattering clusters, and shadowing effect This information will be of paramount importance to those responsible for designing future 5G network infrastructure to ensure that adequate service can be provided.

Network Model
Cell Association Policy
Channel Model
LAGUERRE POLYNOMIAL SERIES EXPANSION OF THE κ-μ SHADOWED DISTRIBUTION
DISTRIBUTION OF THE AGGREGATE INTERFERENCE
THEORETICAL ANALYSIS OF THE PERFORMANCE MEASURES
General Case and Main Result
Special Cases
Nz where Θ denotes the following expression
Performance Measure 1
Performance Measure 2
CONCLUSION
F1 a t b
Full Text
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