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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Conference papers
On optimal channel training for uplink network MIMO systems
Abstract : We study a multi-cell frequency-selective fading uplink chan- nel from K user terminals (UTs) to B base stations (BSs). The BSs, assumed to be oblivious of the applied encoding scheme, compress and forward their observations to a cen- tral station (CS) via capacity limited backhaul links. The CS jointly decodes the messages from all UTs. Since we assume no prior channel state information, the channel needs to be estimated during its coherence time. Based on a lower bound of the ergodic mutual information, we determine the optimal fraction of the coherence time used for channel training. We then study how the optimal training length is impacted by the backhaul capacity. Our analysis is based on large random ma- trix theory but shown by simulations to be tight for even small system dimensions.
https://hal-supelec.archives-ouvertes.fr/hal-00648026
Contributor : Samir Medina Perlaza <>
Submitted on : Sunday, December 4, 2011 - 9:57:28 PM
Last modification on : Monday, December 14, 2020 - 2:36:02 PM
Long-term archiving on: : Friday, November 16, 2012 - 2:15:57 PM
Contributor : Samir Medina Perlaza <>
Submitted on : Sunday, December 4, 2011 - 9:57:28 PM
Last modification on : Monday, December 14, 2020 - 2:36:02 PM
Long-term archiving on: : Friday, November 16, 2012 - 2:15:57 PM
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