Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays

Matteo, A., Boviz, D., Christiansen, H., Clerckx, B., Cottatellucci, L., Gesbert, D., Gizas, B., Gopalasingham, A., Khan, Faheem Ahmad, Kelif., J., Muller, R., Ntaikos, D., Ntougias, K., Papadias, C., Rassouli, B., Sedaghat, M., Ratnarajah, T., Roullet, L., Senecal, S., Yin, H. and Zhou, L. (2016) Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays. IEEE Communications Magazine, 54 (12). pp. 183-191. ISSN 0163-6804

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Abstract

Cloud radio access network systems, consisting of remote radio heads densely distributed in a coverage area and connected by optical fibers to a cloud infrastructure with large computational capabilities, have the potential to meet the ambitious objectives of next generation mobile networks. Actual implementations of C-RANs tackle fundamental technical and economic challenges. In this article, we present an end-to-end solution for practically implementable C-RANs by providing innovative solutions to key issues such as the design of cost-effective hardware and power-effective signals for RRHs, efficient design and distribution of data and control traffic for coordinated communications, and conception of a flexible and elastic architecture supporting dynamic allocation of both the densely distributed RRHs and the centralized processing resources in the cloud to create virtual base stations. More specifically, we propose a novel antenna array architecture called load-controlled parasitic antenna array (LCPAA) where multiple antennas are fed by a single RF chain. Energy- and spectral-efficient modulation as well as signaling schemes that are easy to implement are also provided. Additionally, the design presented for the fronthaul enables flexibility and elasticity in resource allocation to support BS virtualization. A layered design of information control for the proposed end-to-end solution is presented. The feasibility and effectiveness of such an LCPAA-enabled C-RAN system setup has been validated through an over-the-air demonstration.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools:	School of Computing and Engineering > Systems Engineering Research Group School of Computing and Engineering
Related URLs:	Author
Depositing User:	Faheem Khan
Date Deposited:	06 Feb 2017 15:34
Last Modified:	28 Aug 2021 16:20
URI:	http://eprints.hud.ac.uk/id/eprint/30991

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