Self-organized spectrum sharing in large MIMO multiple-access channels

Romain Couillet, H. Vincent Poor, Mérouane Debbah

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

1 Scopus citations

Abstract

In this paper, a deterministic approximation for the rate region of multiple access channels is provided when both the base station and the users have large numbers of antennas, and when the transmission bandwidth is divided into several independent subbands. An explicit formulation is also given for the transmit covariance matrices, at each frequency, that reach the boundary of the rate region. From the compact expression of these matrices, suboptimal iterative algorithms emerge that allow the multiple access users to derive autonomously the transmit covariance matrices. This comes at the sole expense of a small amount of signalling overhead, which is constant irrespectively of the number of antennas. Simulations confirm the validity of the theoretical derivations and suggest rather good behavior of the suboptimal self-organization algorithms.

Original languageEnglish (US)
Title of host publication2010 IEEE International Symposium on Information Theory, ISIT 2010 - Proceedings
Pages2303-2307
Number of pages5
DOIs
StatePublished - 2010
Event2010 IEEE International Symposium on Information Theory, ISIT 2010 - Austin, TX, United States
Duration: Jun 13 2010Jun 18 2010

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8103

Other

Other2010 IEEE International Symposium on Information Theory, ISIT 2010
CountryUnited States
CityAustin, TX
Period6/13/106/18/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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  • Cite this

    Couillet, R., Poor, H. V., & Debbah, M. (2010). Self-organized spectrum sharing in large MIMO multiple-access channels. In 2010 IEEE International Symposium on Information Theory, ISIT 2010 - Proceedings (pp. 2303-2307). [5513642] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2010.5513642