Decentralized data detection for massive MU-MIMO on a Xeon Phi cluster

@article{Li2016DecentralizedDD,
  title={Decentralized data detection for massive MU-MIMO on a Xeon Phi cluster},
  author={Kaipeng Li and Yujun Chen and Rishi Sharan and Tom Goldstein and Joseph R. Cavallaro and Christoph Studer},
  journal={2016 50th Asilomar Conference on Signals, Systems and Computers},
  year={2016},
  pages={468-472}
}
Conventional centralized data detection algorithms for massive multi-user multiple-input multiple-output (MU-MIMO) systems, such as minimum mean square error (MMSE) equalization, result in excessively high raw baseband data rates and computing complexity at the centralized processing unit. Hence, practical base-station (BS) designs for massive MU-MIMO that rely on state-of-the-art hardware processors and I/O interconnect standards must find new means to avoid these bottlenecks. In this paper… CONTINUE READING

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