40 research outputs found
Downlink and Uplink Decoupling: a Disruptive Architectural Design for 5G Networks
Cell association in cellular networks has traditionally been based on the
downlink received signal power only, despite the fact that up and downlink
transmission powers and interference levels differed significantly. This
approach was adequate in homogeneous networks with macro base stations all
having similar transmission power levels. However, with the growth of
heterogeneous networks where there is a big disparity in the transmit power of
the different base station types, this approach is highly inefficient. In this
paper, we study the notion of Downlink and Uplink Decoupling (DUDe) where the
downlink cell association is based on the downlink received power while the
uplink is based on the pathloss. We present the motivation and assess the gains
of this 5G design approach with simulations that are based on Vodafone's LTE
field trial network in a dense urban area, employing a high resolution
ray-tracing pathloss prediction and realistic traffic maps based on live
network measurements.Comment: 6 pages, 7 figures, conference paper, submitted to IEEE GLOBECOM 201
Load & Backhaul Aware Decoupled Downlink/Uplink Access in 5G Systems
Until the 4th Generation (4G) cellular 3GPP systems, a user equipment's (UE)
cell association has been based on the downlink received power from the
strongest base station. Recent work has shown that - with an increasing degree
of heterogeneity in emerging 5G systems - such an approach is dramatically
suboptimal, advocating for an independent association of the downlink and
uplink where the downlink is served by the macro cell and the uplink by the
nearest small cell. In this paper, we advance prior art by explicitly
considering the cell-load as well as the available backhaul capacity during the
association process. We introduce a novel association algorithm and prove its
superiority w.r.t. prior art by means of simulations that are based on
Vodafone's small cell trial network and employing a high resolution pathloss
prediction and realistic user distributions. We also study the effect that
different power control settings have on the performance of our algorithm.Comment: 6 pages, 6 figures. Submitted to the IEEE International Conference on
Communications (ICC 2015
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