2015
DOI: 10.1109/comst.2015.2439636
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Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments

Abstract: Today's heterogeneous networks comprised of mostly macrocells and indoor small cells will not be able to meet the upcoming traffic demands. Indeed, it is forecasted that at least a 100× network capacity increase will be required to meet the traffic demands in 2020. As a result, vendors and operators are now looking at using every tool at hand to improve network capacity. In this epic campaign, three paradigms are noteworthy, i.e., network densification, the use of higher frequency bands and spectral efficiency… Show more

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Cited by 471 publications
(381 citation statements)
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“…In general, the downlink channel gains {g g g H j,k,n } between AP j and UE k on RB n include both the small-scale fading {h h h H j,k,n } between AP j and UE k on RB n, as well as the path loss {ξ j,k } and shadow fading {ζ j,k } between AP j and UE k, modelled as g g g [2], the main differences between regular cellular networks and UDNs manifest themselves both in terms of the path loss model and spatially correlated channel model, plus the AP to UE density. First of all, as for the large-scale fading model, the standard inverse-power path loss model is not capable of accurately characterizing UDNs [37] [38].…”
Section: B Channel Modelmentioning
confidence: 99%
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“…In general, the downlink channel gains {g g g H j,k,n } between AP j and UE k on RB n include both the small-scale fading {h h h H j,k,n } between AP j and UE k on RB n, as well as the path loss {ξ j,k } and shadow fading {ζ j,k } between AP j and UE k, modelled as g g g [2], the main differences between regular cellular networks and UDNs manifest themselves both in terms of the path loss model and spatially correlated channel model, plus the AP to UE density. First of all, as for the large-scale fading model, the standard inverse-power path loss model is not capable of accurately characterizing UDNs [37] [38].…”
Section: B Channel Modelmentioning
confidence: 99%
“…Hence, the Rician fading channel model may be more appropriate than Rayleigh fading in this scenario. Therefore, we adopt the distancedependent Rician small-scale fading model used in [2], where the distance-dependent K-factor is modelled as…”
Section: B Channel Modelmentioning
confidence: 99%
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“…Despite the appealing features of UDN, the continuing increase of cell density brings new challenges [7]. In a typical UDN, many low power remote base station antennas (RBAs) are irregularly (usually randomly) distributed over a given area and connected to a central processor; consequently, a dense and irregular network topology is introduced.…”
Section: Related Workmentioning
confidence: 99%