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LabVIEW based Platform for prototyping dense LTE Networks in CROWD Project

Gupta, Rohit and Vogel, Thomas and Kundargi, Nikhil and Ekbal, Amal and Morelli, Arianna and Mancuso, Vincenzo and Sciancalepore, Vincenzo and Ford, Russell and Rangan, Sundeep (2014) LabVIEW based Platform for prototyping dense LTE Networks in CROWD Project. In: The 23rd European Conference on Networks and Communications (EuCNC 2014), 23-26 June 2014, Bologna, Italy.

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Abstract

Next-generation wireless networks (5G) cope with significant traffic increase because of high-quality video transmission and cloud-based applications. This creates the need for a revolutionary change in architecture rather than a series of local and incremental technology updates. A dense heterogeneous deployment of small cells such as pico/femto cells in addition to high-power macro cells is a potential solution. In this area, a significant amount of research relies on simulations at PHY, MAC, and higher layers, but it is still necessary to validate the algorithms for next-generation systems in a real-time testbed. The ever-increasing complexity in all layers of current and future generations of cellular wireless systems, however, has made an end-to-end demonstration of the network limited to industrial research labs or large academic institutions. As a solution to tame the dense deployment of wireless networks, we propose an NI PXI platform based on NI LabVIEW software in which an LTE-like SISO OFDM PHY layer is integrated with an open-source protocol stack to prototype PHY/MAC cross layer algorithms within a CROWD (Connectivity management for eneRgy Optimised Wireless Dense networks) software-defined networking (SDN) framework.

Item Type: Conference or Workshop Papers (Paper)
Additional Information: http://dx.doi.org/10.1109/EuCNC.2014.6882658
Uncontrolled Keywords: 4G mobile communication; Long Term Evolution; access protocols; femtocellular radio; microcellular radio; mobile computing; next generation networks; picocellular radio; software radio; telecommunication computing; virtual instrumentation.
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Rebeca De Miguel
Date Deposited: 15 Oct 2014 08:00
Last Modified: 15 Oct 2014 08:00
URI: http://eprints.networks.imdea.org/id/eprint/893

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