Abstract
Hybrid beamforming for massive MIMO systems is considered as fundamental backbone to enhance system capacity of 5th generation communication systems to meet the increasing demands of data traffic in near future. The conventional fully digital beamforming used for MIMO systems can provide optimal performance for massive MIMO systems also, but it becomes impractical for implementation due to high power consumption, high cost, and complexity involved. The prominent state-of-art hybrid beamforming techniques in the existing literature produce near optimal performance, but these also suffer from high computational complexity. In this paper, a comparatively low complexity technique is proposed which produces near optimal performance in terms of spectral efficiency as well as avoids nested loop architecture used by most state-of-art algorithms. The proposed technique needs less computational resources, which in turn results faster processing, lower cost, and lower power consumption and makes it more suitable for practical implementation.
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Singh, R., Chawla, P. (2022). Low Complexity Hybrid Beamforming Technique for Massive MIMO System. In: Saraswat, M., Roy, S., Chowdhury, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications . Lecture Notes in Networks and Systems, vol 288. Springer, Singapore. https://doi.org/10.1007/978-981-16-5120-5_15
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DOI: https://doi.org/10.1007/978-981-16-5120-5_15
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