Gradient based decentralized joint beamforming
Kaleva, Jarkko; Tölli, Antti; Juntti, Markku; Berry, Randall; Honig, Michael (2018-02-15)
J. Kaleva, A. Tölli, M. Juntti, R. Berry and M. Honig, "Gradient based decentralized joint beamforming," 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, 2017, pp. 1-5. doi: 10.1109/PIMRC.2017.8292334
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Gradient based downlink beamforming with low computational complexity and training overhead is proposed for joint processing (JP) coordinated multi-point transmission (CoMP). Pilot contamination and estimation noise are taken into account in the pilot based transceiver training process. The proposed designs enable decentralized JP when the backhaul and computational limitations do not allow centralized processing. The impact of backhaul quantization is also considered. The stochastic gradient based designs are shown to be more robust to feedback quantization when compared to more complex methods. The trade-off between the implementation complexity and performance is established for the proposed algorithms. The results show that low complexity decentralized JP CoMP is feasible even with limited backhaul capacity.
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