This paper deals with performance analysis of a dual-hop multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) network, which employs multiple amplify-and-forward (AF) nonorthogonal relays and linear zero-forcing (ZF) equalization at the destination. The nonorthogonal AF relaying process introduces correlation between the noise samples at the destination which, along with the non-Gaussian nature of the dual-hop channel and the fact that the relays are located in different positions, significantly complicates the performance analysis of the system. We derive a simple and tight upper bound on the symbol error probability at the destination, which is validated through Monte Carlo simulations.
Performance analysis of amplify-and-forward MIMO-OFDM links with linear ZF equalization / Gelli, Giacinto; Melito, Fulvio; Verde, Francesco; Darsena, Donatella. - (2013), pp. 296-300. (Intervento presentato al convegno 2013 IEEE International Conference on Communications Workshops (ICC) tenutosi a Budapest) [10.1109/ICCW.2013.6649247].
Performance analysis of amplify-and-forward MIMO-OFDM links with linear ZF equalization
GELLI, GIACINTO;MELITO, FULVIO;VERDE, FRANCESCO;Donatella Darsena
2013
Abstract
This paper deals with performance analysis of a dual-hop multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) network, which employs multiple amplify-and-forward (AF) nonorthogonal relays and linear zero-forcing (ZF) equalization at the destination. The nonorthogonal AF relaying process introduces correlation between the noise samples at the destination which, along with the non-Gaussian nature of the dual-hop channel and the fact that the relays are located in different positions, significantly complicates the performance analysis of the system. We derive a simple and tight upper bound on the symbol error probability at the destination, which is validated through Monte Carlo simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.