User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO

@article{Maschietti2021UserCF,
  title={User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO},
  author={Flavio Maschietti and G{\'a}bor Fodor and David Gesbert and Paul de Kerret},
  journal={IEEE Transactions on Wireless Communications},
  year={2021},
  volume={20},
  pages={2961-2976}
}
Massive multiple-input multiple-output (mMIMO) communications are one of the enabling technologies of 5G and beyond networks. While prior work indicates that mMIMO networks employing time division duplexing have a significant capacity growth potential, deploying mMIMO in frequency division duplexing (FDD) networks remains problematic. The two main difficulties in FDD networks are the scalability of the downlink reference signals and the overhead associated with the required uplink feedback for… 
Decentralized coordination methods for beam alignment and resource allocation in 5G wireless networks. (Méthodes de coordination décentralisées pour alignement de faisceaux et allocation de ressources pour la 5G)
TLDR
This thesis focuses on decentralized cooperative methods for massive multiantenna transmission optimization that are implemented at the cooperating devices themselves, and considers the important limitation factors which hinder perfect coordination such as the measurement noise and the limited information exchange capabilities between the cooperating nodes.

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