Research Article
Minimum Interference Beam Selection for Millimeter Wave BeamSpace MIMO System
@INPROCEEDINGS{10.1007/978-3-319-78139-6_15, author={Dantao Li and Xiaohui Li and Bin Zhou and Yanbin Zhao and Danfeng Meng}, title={Minimum Interference Beam Selection for Millimeter Wave BeamSpace MIMO System}, proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2018}, month={4}, keywords={Massive MIMO mmWave communication systems Low RF complexity Beamspace MIMO Beam selection}, doi={10.1007/978-3-319-78139-6_15} }- Dantao Li
Xiaohui Li
Bin Zhou
Yanbin Zhao
Danfeng Meng
Year: 2018
Minimum Interference Beam Selection for Millimeter Wave BeamSpace MIMO System
CHINACOM
Springer
DOI: 10.1007/978-3-319-78139-6_15
Abstract
Millimeter Wave (mmWave) combined with massive multiple-input multiple-output (MIMO) can provide wider bandwidth and higher spectrum efficiency. It has been considered as a key technique for future 5G wireless communications. However, hardware costs and power consumption make traditional MIMO processing impractical in such systems, because a large number of radio frequency (RF) chains are needed. To solve this problem, the beamspace MIMO concept is proposed in mmWave multiuser MIMO (MU-MIMO) systems, which utilizes beam selection algorithm based on the sparsity of beamspace channel to reduce the required RF chains without obvious performance loss. The existing beam selection algorithms mainly select the beam with the strongest gain, but ignore the inter-beam interference and the complexity. Thus, a novel algorithm based on the minimum interference (MI) criterion is proposed. Specifically, the performance of the beams is measured by defining the beamspace signal-to-interference ratio (SIR). When choosing beams, not only the gain of beams but also the interference to other users is considered. The simulation results demonstrate that the proposed algorithm can substantial reduce the complexity while ensuring better system performance.
