Optimizing Power and Resource Management for Multiuser MIMO/OFDM Systems

Ying Jun Zhang, Khaled Ben Letaief

Research output: Contribution to conferencePaper


Fast adaptive transmission has been recently recognized as an essential method to exploit the system diversity and enhance power/spectral efficiency in time-varying channels. In this paper, we propose adaptive transmission algorithms for multiuser MIMO/OFDM systems. The algorithms adaptively control multiple-access, modulation, and transmit power to exploit the channel variation in space, frequency, and user domains. The ultimate objective is to optimize the overall power efficiency while ensuring the fulfillment of every user's QoS requirements. A major challenge in the problem lies in the optimization complexity due to the presence of non-linear, non-convex constraints. The proposed algorithms successfully reduce the optimization complexity and solve the noise enhancement problem that exists in multiuser systems with non-orthogonal signatures. Numerical results show that significant improvement in power/spectral efficiency is achievable with reasonable computational complexity when the above schemes are applied.

Original languageEnglish
Number of pages5
Publication statusPublished - 1 Dec 2003
EventIEEE Global Telecommunications Conference GLOBECOM'03 - San Francisco, CA, United States
Duration: 1 Dec 20035 Dec 2003


OtherIEEE Global Telecommunications Conference GLOBECOM'03
CountryUnited States
CitySan Francisco, CA


ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Global and Planetary Change

Cite this

Zhang, Y. J., & Letaief, K. B. (2003). Optimizing Power and Resource Management for Multiuser MIMO/OFDM Systems. 179-183. Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.