On Minimizing the MSE in the Presence of Channel State Information Errors

Gabor Fodor, Piergiuseppe Di Marco, M. Telek

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We consider the uplink of a multiuser multiple input multiple output (MU MIMO) system, in which the base station acquires channel state information (CSI) for which the estimation error depends on the resources assigned to the uplink pilot symbols. For this system, we first derive the receiver that minimizes the mean square error (MSE) of the uplink detected data symbols, as opposed to the naïve receiver that does not minimize the MSE in the presence of CSI errors. We then derive a closed form expression for the MSE as a function of the employed pilot-to-data power ratio, number of antennas and the MU MIMO interference power. This expression allows us to gain the insight that the gain of using the actual MMSE receiver as opposed to the naïve receiver becomes particularly important when the number of BS antennas is large.

Original languageEnglish
Article number7132737
Pages (from-to)1604-1607
Number of pages4
JournalIEEE Communications Letters
Volume19
Issue number9
DOIs
Publication statusPublished - Sep 1 2015

Fingerprint

Channel state information
Channel State Information
Mean square error
Uplink
Receiver
Antennas
Antenna
Minimise
Base stations
Error analysis
Multiple-input multiple-output (MIMO) Systems
Minimum Mean Square Error
Estimation Error
Multiple-input multiple-output (MIMO)
Closed-form
Interference
Resources

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation

Cite this

On Minimizing the MSE in the Presence of Channel State Information Errors. / Fodor, Gabor; Marco, Piergiuseppe Di; Telek, M.

In: IEEE Communications Letters, Vol. 19, No. 9, 7132737, 01.09.2015, p. 1604-1607.

Research output: Contribution to journalArticle

Fodor, Gabor ; Marco, Piergiuseppe Di ; Telek, M. / On Minimizing the MSE in the Presence of Channel State Information Errors. In: IEEE Communications Letters. 2015 ; Vol. 19, No. 9. pp. 1604-1607.
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