AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR

Hamdi Joudeh, Bruno Clercks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.

Original languageEnglish
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3308-3313
Number of pages6
ISBN (Electronic)9781479935116
DOIs
Publication statusPublished - 2014 Feb 9
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: 2014 Dec 82014 Dec 12

Other

Other2014 IEEE Global Communications Conference, GLOBECOM 2014
CountryUnited States
CityAustin
Period14/12/814/12/12

Fingerprint

Channel state information
Mean square error
Convex optimization
Covariance matrix
Error analysis
fairness

Keywords

  • AMMSE
  • Imperfect CSIT
  • Robust Design

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Communication

Cite this

Joudeh, H., & Clercks, B. (2014). AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 3308-3313). [7037317] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7037317

AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR. / Joudeh, Hamdi; Clercks, Bruno.

2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3308-3313 7037317.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Joudeh, H & Clercks, B 2014, AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR. in 2014 IEEE Global Communications Conference, GLOBECOM 2014., 7037317, Institute of Electrical and Electronics Engineers Inc., pp. 3308-3313, 2014 IEEE Global Communications Conference, GLOBECOM 2014, Austin, United States, 14/12/8. https://doi.org/10.1109/GLOCOM.2014.7037317
Joudeh H, Clercks B. AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR. In 2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3308-3313. 7037317 https://doi.org/10.1109/GLOCOM.2014.7037317
Joudeh, Hamdi ; Clercks, Bruno. / AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR. 2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3308-3313
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