Context Information for Fast Cell Discovery in mm-wave 5G Networks
Antonio Capone, Ilario Filippini, Vincenzo Sciancalepore

TL;DR
This paper proposes using user position context information from the control plane to enhance cell discovery in mm-wave 5G networks, reducing delay by optimizing directional scanning and leveraging hybrid architectures.
Contribution
It introduces a method to utilize context information for faster cell discovery in mm-wave 5G, analyzing trade-offs and accuracy effects with numerical validation.
Findings
Context information improves cell discovery delay.
Directional antenna scanning benefits from user position data.
Accuracy of context information impacts discovery performance.
Abstract
The exploitation of the mm-wave bands is one of the most promising solutions for 5G mobile radio networks. However, the use of mm-wave technologies in cellular networks is not straightforward due to mm-wave harsh propagation conditions that limit access availability. In order to overcome this obstacle, hybrid network architectures are being considered where mm-wave small cells can exploit an overlay coverage layer based on legacy technology. The additional mm-wave layer can also take advantage of a functional split between control and user plane, that allows to delegate most of the signaling functions to legacy base stations and to gather context information from users for resource optimization. However, mm-wave technology requires high gain antenna systems to compensate for high path loss and limited power, e.g., through the use of multiple antennas for high directivity. Directional…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
