Skip to Main content Skip to Navigation
Journal articles

Optimal Channel Training in Uplink Network MIMO Systems

Abstract : We consider a multicell frequency-selective fading uplink channel (network MIMO) from K single-antenna user terminals (UTs) to B cooperative base stations (BSs) with M antennas each. The BSs, assumed to be oblivious of the applied codebooks, forward compressed versions of their observations to a central station (CS) via capacity limited backhaul links. The CS jointly decodes the messages from all UTs. Since the BSs and the CS are assumed to have no prior channel state information (CSI), 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, taking different path losses between the UTs and the BSs into account. We then study how the optimal training length is impacted by the backhaul capacity. Although our analytical results are based on a large system limit, we show by simulations that they provide very accurate approximations for even small system dimensions.
Complete list of metadatas

Cited literature [40 references]  Display  Hide  Download

https://hal-supelec.archives-ouvertes.fr/hal-00648022
Contributor : Samir Medina Perlaza <>
Submitted on : Sunday, December 4, 2011 - 9:44:19 PM
Last modification on : Thursday, March 29, 2018 - 11:06:05 AM
Long-term archiving on: : Friday, November 16, 2012 - 2:15:51 PM

File

double.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Jakob Hoydis, Mari Kobayashi, Merouane Debbah. Optimal Channel Training in Uplink Network MIMO Systems. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2011, 59 (6), pp.2824-2833. ⟨10.1109/TSP.2011.2129513⟩. ⟨hal-00648022⟩

Share

Metrics

Record views

415

Files downloads

334