Title :
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
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);
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2013.2274482