MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Finite blocklength analysis of the MISO Coherent Block Fading Channel

Author(s)
Collins, Austin Daniel
Thumbnail
DownloadFull printable version (3.232Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Yury Polyanskiy.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
The Coherent MISO Block Fading Channel is a wireless communication channel model in which the transmitter has access to multiple antennas while the receiver has access to one. This model is becoming increasingly important in communication networks because a base station is often able to use many antennas whereas smaller receivers, such as mobile devices, have a strict size limitation. The capacity of this channel is known, but the finite blocklength limits of codes over this channel is still unknown. In this thesis, we analyze these finite blocklength fundamental limits. Specifically, we give the coding theorem showing the achievable dispersion of this channel. We identify that this channel has non-unique capacity achieving input distributions, and although these distribution all yield the same capacity, some distributions in this set yield a better dispersion than others. We show that orthogonal design input distributions achieve capacity in dimensions where they exist, and that they strictly outperform schemes that purely aim to maximize multiplexing gain from a finite blocklength perspective.
Description
Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 55-56).
 
Date issued
2014
URI
http://hdl.handle.net/1721.1/93740
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.