TY - JOUR
T1 - Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays
AU - Artuso, Matteo
AU - Boviz, Dora
AU - Checko, Aleksandra
AU - Christiansen, Henrik L.
AU - Clerckx, Bruno
AU - Cottatellucci, Laura
AU - Gesbert, David
AU - Gizas, Bobby
AU - Gopalasingham, Aravinthan
AU - Khan, Faheem
AU - Kelif, Jean-marc
AU - Muller, Ralf
AU - Ntaikos, Dimitrios
AU - Ntougias, Konstantinos
AU - Papadias, Constantinos B.
AU - Rassouli, Borzoo
AU - Sedaghat, Mohammad Ali
AU - Ratnarajah, Tharmalingam
AU - Roullet, Laurent
AU - Senecal, Stephane
AU - Yin, Haifan
AU - Zhou, Lin
PY - 2016/12
Y1 - 2016/12
N2 - 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.
AB - 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.
KW - Antenna arrays
KW - Computer architecture
KW - Loaded antennas
KW - Cloud Computing
KW - Resource management
KW - Radio Frequency
KW - Long Term Evolution
UR - http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=7786093
U2 - 10.1109/MCOM.2016.1500687CM
DO - 10.1109/MCOM.2016.1500687CM
M3 - Article
VL - 54
SP - 183
EP - 191
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
SN - 0163-6804
IS - 12
ER -