An SVD-Aided Efficient Bit-Loading Algorithm for MIMO Transmission Over Spatially Correlated Channels

This paper proposes an efficient bit-loading algorithm for Multiple-Input-Multiple-Output transmission over spatially correlated channels with perfect Channel State Information at both link ends. Based on water-filling principle, the algorithm does not assume the well-known gap approximation and acc...

Full description

Saved in:
Bibliographic Details
Published in:Wireless personal communications 2014-03, Vol.75 (2), p.1167-1185
Main Authors: Fatani, Imade, Zwingelstein-Colin, Marie, Gharbi, Mohamed, Coudoux, François-Xavier, Berbineau, Marion, Gazalet, Marc
Format: Article
Language:English
Subjects:
Algorithms
Allocations
Antennas
Applied sciences
Approximation
Channels
Communications Engineering
Computer Communication Networks
Correlation
Engineering
Engineering Sciences
Equipments and installations
Exact sciences and technology
Mathematical analysis
Mobile radiocommunication systems
Networks
Radiocommunications
Robustness
Signal,Image and Speech Processing
Telecommunications
Telecommunications and information theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes an efficient bit-loading algorithm for Multiple-Input-Multiple-Output transmission over spatially correlated channels with perfect Channel State Information at both link ends. Based on water-filling principle, the algorithm does not assume the well-known gap approximation and accounts for the spatial correlation effects through the initial bit allocation. The result is the optimal distribution of bits and power over the eigenmodes for multiple antenna systems. We report the performance evaluations in the presence of spatial correlation in order to illustrate the efficiency and the robustness of our bit-loading algorithm in realistic environments. The simulation results demonstrate that our algorithm leads to significant improvements. In addition, these results show that our algorithm achieves the maximal diversity order, as well as exhibiting a high extra coding gain.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-013-1414-3