Adaptive modulation and coding of MIMO in next generation mobile systems

Sangmin Ro, Intae Hwang, Daesik Hong, Changeon Kang, Mingoo Kang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, we combine adaptive modulation and coding (AMC) with multiple input multiple output (MIMO) VBLAST multiplexing to improve the throughput performance of AMC in next generation mobile communication systems. In addition, we propose a system that adopts selection transmit diversity (STD) in the combined AMC-MIMO VBLAST system. The received signal-to-noise ratio (SNR) is improved by adopting STD techniques and an improved SNR increases a probability of selecting modulation and coding scheme (MCS) level that supports higher data rate. From the simulation results, the investigated MIMO-STD VBLAST system provides a throughput gain of 1Mbps compared with simply combined AMC-MIMO VBLAST system when the required SNR is 15dB. Also, the higher throughput is achieved by AMC-TD schemes and AMC-STTD scheme provides about 250kbps increase in throughput. And AMC-STD with 2 transmit antennas achieves about 420 kbps throughput improvement over the conventional AMC at 9dB SNR.

Original languageEnglish
Pages (from-to)445-454
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2668
Publication statusPublished - 2003 Dec 1

Fingerprint

Adaptive Modulation and Coding
Adaptive modulation
Mobile Systems
Multiple-input multiple-output (MIMO)
V-BLAST
Transmit Diversity
Throughput
Signal to noise ratio
Mobile telecommunication systems
Mobile Communication
Multiplexing
High Throughput
Communication Systems
Antenna
Modulation
Coding
Antennas

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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Adaptive modulation and coding of MIMO in next generation mobile systems. / Ro, Sangmin; Hwang, Intae; Hong, Daesik; Kang, Changeon; Kang, Mingoo.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2668, 01.12.2003, p. 445-454.

Research output: Contribution to journalArticle

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AU - Ro, Sangmin

AU - Hwang, Intae

AU - Hong, Daesik

AU - Kang, Changeon

AU - Kang, Mingoo

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