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Hybrid Beamforming Techniques for Massive Mimo Technique

EasyChair Preprint no. 10180

8 pagesDate: May 17, 2023


Massive MIMO (Multiple Input Multiple Output) is a key technology in the evolution of 5G wireless networks. One of the key challenges in Massive MIMO is the design of the beamforming vectors, which determines the transmission direction and the quality of the received signals. Hybrid beamforming is a promising solution to address this challenge by combining the benefits of both analog and digital beamforming. This abstract summarizes the benefits and challenges of hybrid beamforming in Massive MIMO systems. The use of hybrid beamforming can reduce the number of RF chains and the hardware cost, while maintaining high spectral efficiency and low latency. The hybrid beamforming technique involves the precoding of digital signals in the baseband and the beamforming of analog signals in the RF domain. The digital precoding is performed by optimizing the beamforming weights to improve the signal quality, while the analog beamforming is performed by adjusting the phase shifters to control the transmission direction. The hybrid beamforming technique can effectively balance the trade-off between performance and cost, making it a promising solution for the implementation of Massive MIMO systems. However, the design of hybrid beamforming requires a careful optimization of the analog and digital beamforming vectors to achieve the desired performance.


BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kavitha Thandapani and Manikanteswar Gandrothula and Pedamallu Viswa Venkata Sai Ram and Bokka Nithin Sai},
  title = {Hybrid Beamforming Techniques for Massive Mimo Technique},
  howpublished = {EasyChair Preprint no. 10180},

  year = {EasyChair, 2023}}
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