Paper Info
Title
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.
Year
DOI
Venue
2011
10.1109/TSP.2011.2129513
IEEE Transactions on Signal Processing
Keywords
DocType
Volume
coherence time,optimal channel training,uplink channel,optimal training length,optimal fraction,prior channel state information,capacity limited backhaul link,uplink network mimo systems,large system limit,channel training,ergodic mutual information,backhaul capacity,lower bound,random matrix theory,base station,signal to noise ratio,channel state information,mutual information
Journal
59
Issue
ISSN
Citations 
6
1053-587X
12
PageRank 
References 
Authors
1.26
30
3
Name
Order
Citations
PageRank
Jakob Hoydis12121112.59
Mari Kobayashi234019.96
Merouane Debbah365034.40