Interference management in LTE-based HetNets: A practical approach


Por: Font-Bach, O, Bartzoudis, N, Pascual-Iserte, A, Payaro, M, Blanco, L, Bueno, DL, Molina, M

Publicada: 1 ene 2015
Categoría: Electrical and electronic engineering

Resumen:
Interference is a major obstacle in radio communications, especially when opportunistic frequency reuse is an inherent requirement for maximising spectral efficiency in heterogeneous networks. A typical example is encountered in cellular communications where macrocell-edge users receive interference from small cell transmissions that use the same radio frequency band. Innovating interference management algorithms are employed towards this end, which because of their interdependencies with numerous parameters of the target operating scenario and various low-level implementation aspects, need to be prototyped in real-time signal processing platforms in order to be credibly verified. In this paper, we present the development and experimental validation of a macrocell/femtocell coexistence scenario in close to real-life conditions. The inclusion of an agile interference management scheme increased the signal processing complexity at the physical layer. This overhead was appropriately addressed by engaging advanced parallel processing techniques, optimisations of the arithmetic operations and intelligent reuse of logic and memory resources in the field programmable gate array (FPGA)-based baseband processing architecture. © 2014 John Wiley & Sons, Ltd.

Filiaciones:
Font-Bach, O:
 CTTC, Barcelona, Spain

Bartzoudis, N:
 CTTC, Barcelona, Spain

Pascual-Iserte, A:
 Univ Politecn Cataluna, Dept Signal Theory & Commun, Barcelona, Spain

Payaro, M:
 CTTC, Barcelona, Spain

Blanco, L:
 CTTC, Barcelona, Spain

Bueno, DL:
 CTTC, Barcelona, Spain

Molina, M:
 Univ Politecn Cataluna, Dept Signal Theory & Commun, Barcelona, Spain
ISSN: 21613915
Editorial
John Wiley and Sons Ltd, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, Reino Unido
Tipo de documento: Article
Volumen: 26 Número: 2
Páginas: 195-215
WOS Id: 000348871200007
imagen Green Published, All Open Access; Green Open Access

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