Power control techniques for two-stream MIMO system with maximum likelihood receiver

Jaesang Ham, Chungyong Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In this letter, simple power control techniques are proposed to minimize error probability of a two-stream multiple-input multiple-output (MIMO) system with two transmit antennas and a maximum likelihood (ML) receiver, which is known as an optimal receiver but has a high computational complexity problem. The proposed techniques using Euclidean distances of a few error vectors have the advantages of exactly same error performance and very low computational complexity, compared with an optimal power control technique.

Original languageEnglish
Article number5467193
Pages (from-to)663-666
Number of pages4
JournalIEEE Signal Processing Letters
Volume17
Issue number7
DOIs
Publication statusPublished - 2010 Jun 14

Fingerprint

Multiple-input multiple-output (MIMO) Systems
Power Control
Power control
Maximum likelihood
Maximum Likelihood
Computational complexity
Receiver
Computational Complexity
Error Probability
Antennas
Euclidean Distance
Low Complexity
Antenna
Optimal Control
Minimise
Error probability

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

@article{6199448bbb874ead9b3437c104625e62,
title = "Power control techniques for two-stream MIMO system with maximum likelihood receiver",
abstract = "In this letter, simple power control techniques are proposed to minimize error probability of a two-stream multiple-input multiple-output (MIMO) system with two transmit antennas and a maximum likelihood (ML) receiver, which is known as an optimal receiver but has a high computational complexity problem. The proposed techniques using Euclidean distances of a few error vectors have the advantages of exactly same error performance and very low computational complexity, compared with an optimal power control technique.",
author = "Jaesang Ham and Chungyong Lee",
year = "2010",
month = "6",
day = "14",
doi = "10.1109/LSP.2010.2050965",
language = "English",
volume = "17",
pages = "663--666",
journal = "IEEE Signal Processing Letters",
issn = "1070-9908",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",

}

Power control techniques for two-stream MIMO system with maximum likelihood receiver. / Ham, Jaesang; Lee, Chungyong.

In: IEEE Signal Processing Letters, Vol. 17, No. 7, 5467193, 14.06.2010, p. 663-666.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Power control techniques for two-stream MIMO system with maximum likelihood receiver

AU - Ham, Jaesang

AU - Lee, Chungyong

PY - 2010/6/14

Y1 - 2010/6/14

N2 - In this letter, simple power control techniques are proposed to minimize error probability of a two-stream multiple-input multiple-output (MIMO) system with two transmit antennas and a maximum likelihood (ML) receiver, which is known as an optimal receiver but has a high computational complexity problem. The proposed techniques using Euclidean distances of a few error vectors have the advantages of exactly same error performance and very low computational complexity, compared with an optimal power control technique.

AB - In this letter, simple power control techniques are proposed to minimize error probability of a two-stream multiple-input multiple-output (MIMO) system with two transmit antennas and a maximum likelihood (ML) receiver, which is known as an optimal receiver but has a high computational complexity problem. The proposed techniques using Euclidean distances of a few error vectors have the advantages of exactly same error performance and very low computational complexity, compared with an optimal power control technique.

UR - http://www.scopus.com/inward/record.url?scp=77953260815&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953260815&partnerID=8YFLogxK

U2 - 10.1109/LSP.2010.2050965

DO - 10.1109/LSP.2010.2050965

M3 - Article

AN - SCOPUS:77953260815

VL - 17

SP - 663

EP - 666

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

IS - 7

M1 - 5467193

ER -