Open Access

Downloads

Download data is not yet available.

Abstract

Multiple-input multiple-output (MIMO) systems applying the Eigenbeam-Space Division Multiplexing (E-SDM) technique can be considered as optimal MIMO systems because of providing the highest channel capacity and good communications reliability. In the systems, orthogonal transmission beams are formed between transmit and receive sides; and also optimal transmit input data are adaptively allocated. In addition, a simple detection can be used at receiver to totally eliminate sub-stream interference. Therefore, MIMO E-SDM systems have been considered as a good potential technology for future high speed data transmission networks. Although there have been a lot of technical papers evaluated the systems based on theory analyses and/or computer-based simulation, just few ones have been considered the MIMO E-SDM systems based on hardware design. The main contribution of this paper is to present our own design and implementation of 2x2 and 2x3 MIMO E-SDM systems on FPGA Altera Stratix DSP Development KIT using Verilog HDL, an important step before going to make integrated circuits. The bit-error rate performance the consumption for our design of these systems have shown that our design is successful.



Author's Affiliation
Article Details

Issue: Vol 17 No 1 (2014)
Page No.: 81-91
Published: Mar 31, 2014
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v17i1.1296

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, H., & Bui, P. (2014). FPGA Implementation of Mimo E-SDM for future communications wireless networks. Science and Technology Development Journal, 17(1), 81-91. https://doi.org/https://doi.org/10.32508/stdj.v17i1.1296

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1192 times
Download PDF   = 546 times
Total   = 546 times

Most read articles by the same author(s)