Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An Upper Bound for Limited Rate Feedback MIMO Capacity
Date
2009-06-01
Author
Güvensen, Gökhan Muzaffer
Yılmaz, Ali Özgür
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
212
views
0
downloads
Cite This
We develop a technique to upper bound the point-to-point MIMO limited rate feedback (LRF) capacity under a wide class of vector quantization schemes. The upper bound turns out to be tight and can also be used to obtain an absolute upper bound by using a bounding distribution for Grassmannian beamforming. The bounding technique can be applied to other problems requiring the exact evaluation of the expected value of matrix determinant.
Subject Keywords
Electrical and Electronic Engineering
,
Applied Mathematics
,
Computer Science Applications
URI
https://hdl.handle.net/11511/48864
Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
DOI
https://doi.org/10.1109/twc.2009.071356
Collections
Department of Electrical and Electronics Engineering, Article
Suggestions
OpenMETU
Core
A new likelihood approach to autonomous multiple model estimation
Söken, Halil Ersin (Elsevier BV, 2020-04-01)
This paper presents an autonomous multiple model (AMM) estimation algorithm for hybrid systems with sudden changes in their parameters. Estimates of Kalman filters (KFs) that are tuned and employed for different system modes are merged based on a newly defined likelihood function without any necessity for filter interaction. The proposed likelihood function is composed of two measures, the filter agility measure and the steady-state error measure. These measures are derived based on filter adaptation rules....
System identification with generalized orthonormal basis functions: an application to flexible structures
Nalbantoglu, V; Bokor, J; Balas, G; Gaspar, P (Elsevier BV, 2003-03-01)
This paper presents an application of a multi-input/multi-output identification technique based on system-generated orthonormal basis functions to a flexible structure. A priori information about the poles of the system, part of which corresponds to the natural frequencies of the structure, is used to generate the orthonormal basis functions. A multivariable model is identified for the experimental flexible structure by using these orthonormal basis functions. It is shown that including a priori knowledge o...
A finite field framework for modeling, analysis and control of finite state automata
Reger, Johann; Schmidt, Klaus Verner (Informa UK Limited, 2004-09-01)
In this paper, we address the modeling, analysis and control of finite state automata, which represent a standard class of discrete event systems. As opposed to graph theoretical methods, we consider an algebraic framework that resides on the finite field F-2 which is defined on a set of two elements with the operations addition and multiplication, both carried out modulo 2. The key characteristic of the model is its functional completeness in the sense that it is capable of describing most of the finite st...
An adaptive fully discontinuous Galerkin level set method for incompressible multiphase flows
KARAKUS, Ali; WARBURTON, Tim; AKSEL, MEHMET HALUK; Sert, Cüneyt (Emerald, 2018-01-01)
Purpose This study aims to focus on the development of a high-order discontinuous Galerkin method for the solution of unsteady, incompressible, multiphase flows with level set interface formulation.
Optimum geometry for torque ripple minimization of switched reluctance motors
Sahin, F; Ertan, HB; Leblebicioğlu, Mehmet Kemal (Emerald, 1995-12-01)
This paper briefly describes an approach to determine the optimum magnetic circuit parameters to minimize low speed torque ripple for switched reluctance (SR) motors. For prediction of the torque ripple, normalized data obtained from field solution and a neural network approach is used. Comparison of experimental results with computations illustrates the accuracy of the method. The optimization method is briefly described and some results are presented.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. M. Güvensen and A. Ö. Yılmaz, “An Upper Bound for Limited Rate Feedback MIMO Capacity,”
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
, pp. 2748–2754, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48864.