Abstract
In massive MIMO systems where the number of antennas at base station (BS) is larger than that of users, the existing beamforming schemes generally choose all users as receivers. Howerver, due to the fact that the various channels may be significantly different, the existing schemes are not appropriate for the condition where the number of users becomes large, the system throughput is not optimal at that condition with transtional scheme. In addition, if a large number of antennas equipped at BS are selected to transmit data streams, the requirement of the hardware complexity will become higher, which results in the waste of RF links and transmit power. In this paper, a new zero-forcing beamforming algorithm is proposed based on joint user grouping and antenna selection for massive MIMO systems. When the number of antennas at BS and that of the users in the cell are large, we will deal with the anntenas and the users. The simulation results show that the proposed algorithm provides a better trade-off between rate performance and hardware compexity in massive MIMO systems.
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Acknowledgments
This work was supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China (Grant No. 2015ZX03001033-002).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Qian, W., Quan, H., Yingchao, Z., Bin, S. (2018). Joint User Grouping and Antenna Selection Based Massive MIMO Zero-Forcing Beamforming. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_26
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DOI: https://doi.org/10.1007/978-3-319-66625-9_26
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