QRD-Assisted Adaptive Modulation-Aided MIMO Systems

Author

Ping Yang ; Yue Xiao ; Shaoqian Li ; Hanzo, Lajos

Author_Institution

Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

63

Issue

1

fYear

2014

fDate

Jan. 2014

Firstpage

446

Lastpage

451

Abstract

In this paper, we propose QR-decomposition (QRD)-based adaptive modulation (AM)-aided multiple-input-multiple-output (MIMO) systems. The proposed algorithm yields a tight lower bound of the free distance (FD), which determines the error probability of the detector in the high-signal-to-noise-ratio (SNR) region. Thus, this QRD-based AM algorithm is capable of achieving near-optimal performance at low complexity because the full QRD, which imposes high complexity, is performed only once for each channel realization, regardless of the number of AM modes. Our simulation results show that the proposed algorithm exhibits a better bit-error-rate (BER) performance and reduced complexity compared with the existing algorithms.

Keywords

MIMO communication; adaptive modulation; computational complexity; error statistics; signal detection; BER performance; QR decomposition; QRD-assisted adaptive modulation-aided MIMO systems; QRD-based AM algorithm; SNR region; bit error rate performance; channel realization; complexity reduction; detector error probability; free distance lower bound; multiple-input-multiple-output systems; signal-to-noise-ratio region; Adaptive systems; Bit error rate; Complexity theory; MIMO; Modulation; Transmitting antennas; Vectors; $QR$ decomposition (QRD); Adaptive modulation (AM); free distance (FD); multipleinput multiple-output (MIMO);

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/TVT.2013.2274482

Filename

6566194