MIMO Wireless Communications with limited feedback

Thumbnail Image

Persistent link to this item

View Statistics

Journal Title

Journal ISSN

Volume Title


MIMO Wireless Communications with limited feedback

Published Date




Thesis or Dissertation


In this dissertation, we investigate the effects of having imperfect channel state information due to limited training and feedback resources in multi-user systems with multiple antennas. We find that while the achievable rate is highly sensitive to the quality of channel training and feedback, the rate gap relative to the rate achievable with perfect channel information can be uniformly bounded for all values of signal-to-noise ratio, with proper design of the feedback link to acquire accurate channel information, that is, the multiplexing gain can be preserved. Further, when a large number of users are present in a system, we find the strong requirement for accurate channel information remains, contrary to many transmission strategies that are commonly proposed for this regime. We conclude that given a limited feedback budget, it is desirable to first use resources to acquire highly accurate channel information, and only then allocate resources to exploit multi-user diversity. We also obtain results characterizing the statistics of random subspace quantization, which we use to compute the reduction in feedback overhead possible when this form of quantization is used. Finally, we consider open-loop multi-hop ad hoc networks with multiple antennas and opportunistic routing, and investigate using multiple antennas to optimize the spatial reuse, per-hop length and per-hop rate to maximize end-to-end performance.


University of Minnesota Ph.D. dissertation. September 2012. Major: Electrical Engineering. Advisor: Professor Nihar Jindal. 1 computer file (PDF); vii, 120 pages.

Related to




Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Ravindran, Niranjay. (2012). MIMO Wireless Communications with limited feedback. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/143610.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.