@InProceedings{8081369,
  author = {J. Shi and M. Chen and W. Zhang and Z. Yang and H. Xu},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Precoder design in user-centric virtual cell networks},
  year = {2017},
  pages = {1055-1059},
  abstract = {We consider the coordinated transmission in the downlink of user-centric virtual cell networks where a number of Remote Radio Heads (RRHs) form a virtual cell to serve every user equipment (UE). We introduce two cell formation schemes and design the precoders in order to optimize the sum data rate with fairness among users. The original non-convex weighted sum-rate maximization problem is converted into an equivalent matrix-weighted sum-mean square error (MSE) minimization problem, which is solved by a distributed precoding algorithm. Simulation results show that the proposed weighted minimum mean square error (WMMSE) algorithm provides a substantial gain over existing algorithms in terms of sum data rates with moderate implementation cost.},
  keywords = {cellular radio;mean square error methods;minimisation;precoding;sum data rate optimization;Remote Radio Heads;precoder design;weighted minimum mean square error algorithm;distributed precoding algorithm;square error minimization problem;equivalent matrix-weighted sum;nonconvex weighted sum-rate maximization problem;cell formation schemes;user-centric virtual cell networks;Precoding;Minimization;Downlink;Matrix converters;Signal processing algorithms;Europe;Signal processing},
  doi = {10.23919/EUSIPCO.2017.8081369},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570347840.pdf},
}

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We introduce two cell formation schemes and design the precoders in order to optimize the sum data rate with fairness among users. The original non-convex weighted sum-rate maximization problem is converted into an equivalent matrix-weighted sum-mean square error (MSE) minimization problem, which is solved by a distributed precoding algorithm. 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Xu},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Precoder design in user-centric virtual cell networks},\n year = {2017},\n pages = {1055-1059},\n abstract = {We consider the coordinated transmission in the downlink of user-centric virtual cell networks where a number of Remote Radio Heads (RRHs) form a virtual cell to serve every user equipment (UE). We introduce two cell formation schemes and design the precoders in order to optimize the sum data rate with fairness among users. The original non-convex weighted sum-rate maximization problem is converted into an equivalent matrix-weighted sum-mean square error (MSE) minimization problem, which is solved by a distributed precoding algorithm. 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