by S. Begashaw, D. H. Nguyen and K. R. Dandekar
Reference:
S. Begashaw, D. H. Nguyen, K. R. Dandekar, “Enhancing Blind Interference Alignment with Reinforcement Learning”, In 2016 IEEE Global Communications Conference (GLOBECOM), pp. 1-7, 2016.
Bibtex Entry:
@INPROCEEDINGS{7841815,
author={S. Begashaw and D. H. Nguyen and K. R. Dandekar},
booktitle={2016 IEEE Global Communications Conference (GLOBECOM)},
title={Enhancing Blind Interference Alignment with Reinforcement Learning},
year={2016},
volume={},
number={},
pages={1-7},
keywords={antenna radiation patterns;interference suppression;learning (artificial intelligence);loop antennas;software radio;telecommunication computing;blind interference alignment enhancement;channel state information at the transmitter;CSIT;multiuser systems;interference suppression;antenna radiation patterns;artificial fluctuations;intelligent antenna pattern selection strategy;RA-based blind IA;optimal antenna configuration;reinforcement learning algorithms;software defined radio;reconfigurable Alford loop antenna;received signal to interference and noise ratio;SINR;learning-based mode selection strategy;signaling scheme;Antenna radiation patterns;Interference;Receiving antennas;Switches;Antenna measurements},
doi={10.1109/GLOCOM.2016.7841815},
ISSN={},
month={Dec},}