@inproceedings{c7f7773be16a411f823ae0e9f1363151,
title = "Energy efficient predictive AMC with adaptive SNR-based power allocation in MIMO radio networks",
abstract = "To achieve high data rate and reliability, the multiple-input and multiple-out (MIMO) scheme has been proposed while enabling compatible with the existing wireless networks. However, MIMO suffers from high mobility, inefficient power allocation and various-type of wireless interferences, because the quality of wireless-channels in MIMO significantly affects the determination of modulation and coding scheme (MCS) and the system capacity. The power efficiency, system capacity and the MCS selection are thus degraded significantly. This paper thus proposed a predictive MCS selection with adaptive MIMO power allocation to achieve high system capacity and power efficiency, while overcoming these disadvantages. Additionally, an MCS hysteresis scheme is proposed to avoid unnecessary MCS change and to minimize the overhead of changing MCSs. Numerical results indicate that the proposed approach significantly outperforms the compared approaches in system capacity, the probability of MCS change, and the accuracy of MCS determination.",
keywords = "MIMO, Predictive AMC, SNR-based power allocation, system capacity",
author = "Liang, {Ying Hsin} and Chang, {Ben Jye} and Hwang, {Ren Hung} and Tsai, {Tzung Shiun}",
year = "2011",
doi = "10.1109/CAMAD.2011.5941120",
language = "English",
isbn = "9781612842820",
series = "2011 IEEE 16th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2011",
pages = "66--70",
booktitle = "2011 IEEE 16th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2011",
note = "null ; Conference date: 10-06-2011 Through 11-06-2011",
}