Decentralized Equalization With Feedforward Architectures for Massive MU-MIMO

@article{Jeon2019DecentralizedEW,
  title={Decentralized Equalization With Feedforward Architectures for Massive MU-MIMO},
  author={Charles Jeon and Kaipeng Li and Joseph R. Cavallaro and Christoph Studer},
  journal={IEEE Transactions on Signal Processing},
  year={2019},
  volume={67},
  pages={4418-4432}
}
  • Charles Jeon, Kaipeng Li, +1 author Christoph Studer
  • Published 2019
  • Psychology, Mathematics, Computer Science, Engineering
  • IEEE Transactions on Signal Processing
  • Linear data-detection algorithms that build on zero forcing (ZF) or linear minimum mean-square error (L-MMSE) equalization achieve near-optimal spectral efficiency in massive multi-user multiple-input multiple-output (MU-MIMO) systems. Such algorithms, however, typically rely on centralized processing at the base station (BS) which results in 1) excessive interconnect and chip input/output (I/O) data rates and 2) high computational complexity. Decentralized baseband processing (DBP) partitions… CONTINUE READING

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