发明名称 |
METHOD FOR SELECTING STATE OF A RECONFIGURABLE ANTENNA IN A COMMUNICATION SYSTEM VIA MACHINE LEARNING |
摘要 |
A method for selecting the state of a reconfigurable antenna installed at either the receiver or transmitter of a communication system is provided. The proposed method uses online learning algorithm based on the theory of multi-armed bandit to perform antenna state selection. The selection technique utilizes the Post-Processing Signal-to-Noise Ratio (PPSNR) as a reward metric and maximizes the long-term average reward over time. The performance of the learning based selection technique is empirically evaluated using wireless channel data. The data is collected in an indoor environment using a 2×2 MIMO OFDM system employing highly directional metamaterial Reconfigurable Leaky Wave Antennas. the learning based selection technique shows performance improvements in terms of average PPSNR and regret over conventional heuristic policies.
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申请公布号 |
US2013095774(A1) |
申请公布日期 |
2013.04.18 |
申请号 |
US201213606843 |
申请日期 |
2012.09.07 |
申请人 |
GULATI NIKHIL;GONZALEZ DAVID;DANDEKAR KAPIL R.;DREXEL UNIVERSITY |
发明人 |
GULATI NIKHIL;GONZALEZ DAVID;DANDEKAR KAPIL R. |
分类号 |
H04B1/44 |
主分类号 |
H04B1/44 |
代理机构 |
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地址 |
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