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ICACT20230176 Question.1
Questioner: franklinlu888@outlook.com    2023-02-21 오전 3:16:32 		ICACT20230176 Answer.1
Answer by Auhor rchataut@fitchburgstate.edu   2023-02-21 오전 3:16:32
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Very nice presentation! If M=100 and N=10, do you have any suggestions to optimize the narrowness of the beamforming? Yes, several techniques can be used to optimize the narrowness of the beamforming in massive MIMO. Here are a few suggestions: 1. Increase the number of antennas in the system, as this can enable the signals received by the antennas to be combined in a way that narrows the beam and focuses it in a specific direction. 2. Use higher frequency bands for beamforming, as this results in a narrower beam. The smaller wavelength of higher frequencies allows for a more tightly focused signal. 3. Increase the coherence time of the channel so that the beam can be maintained narrow for a longer period. The coherence time is the duration during which the channel remains relatively constant. 4. Employ advanced signal processing techniques like compressive sensing and adaptive beamforming to optimize the narrowness of the beamforming. 5. Optimize the placement of the antennas in a configuration that enhances the directionality of the beamforming, which can improve the narrowness of the beam.
ICACT20230176 Question.2
Questioner: ce211037@meiji.ac.jp    2023-02-21 오후 12:02:12 		ICACT20230176 Answer.2
Answer by Auhor rchataut@fitchburgstate.edu   2023-02-21 오후 12:02:12
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Thank you for presenting your wonderful research. This system is for multi-user MIMO, do you take into account the number of antennas each user has? Also, you are considering the case where users and base stations have the same number of antennas, but have you run simulations with different numbers of antennas (ex: M=16, N=64)? Thank you for your question. In our simulations, we have assumed that the user is a single antenna user, although in general, the user may have more than one antenna. Our simulation primarily focused on a massive MIMO base station with 16 antennas, but we also conducted some experiments with an increased number of antennas to evaluate the array gain that could be achieved with a larger antenna array.
ICACT20230176 Question.3
Questioner: franklinlu888@outlook.com    2023-02-22 오전 12:49:26 		ICACT20230176 Answer.3
Answer by Auhor rchataut@fitchburgstate.edu   2023-02-22 오전 12:49:26
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Thanks to the speaker and audience. We enjoyed a wonderful QA time. I am the chair of the session, Bing-Yuh Lu, and see you next time! Thank you. I really appreciate your time.
ICACT20230176 Question.4
Questioner: s1068601@mail.yzu.edu.tw    2023-02-22 오후 12:47:55 		ICACT20230176 Answer.4
Answer by Auhor rchataut@fitchburgstate.edu   2023-02-22 오후 12:47:55
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Thank you for presenting your wonderful research. let me learn more knowledge for Massive MIMO. If use real system like 3GPP 5G NR to study, what's the difficult point did you think? Thanks for your time！ 3GPP 5G NR and Massive MIMO are two distinct technologies used in 5G wireless networks. While 3GPP 5G NR is a wireless standard defining the air interface between user equipment and base stations, Massive MIMO is a technique that uses multiple antennas to enhance the capacity and quality of wireless communication. 3GPP 5G NR utilizes advanced technologies like beamforming and dynamic spectrum sharing to enable faster and more efficient wireless communications, while Massive MIMO employs signal processing algorithms to combine signals from different antennas and reduce interference.