Hello, this channel has been my best discovery in 2024, thank you for sharing this knowledge. The focus on methodologies before applications is very true. I've been spending so much time looking for what to study in my postgraduate program and what to research, with fear about the rapid technological evolution and that what I study might become obsolete. Then I realized that it's more important to learn the fundamentals and basics, so then one can move between fields and applications. Thank you Prof.
Prof. Bjornson gives solid advice. Even after thesis submission, the landscape in wireless communications research remains as challenging as ever; to our fortune, there seems to be no shortage of research problems to solve which would bring benefits to society.
Great video, Professor Björnson! The emphasis on methodologies over applications really resonated with me, especially in the context of RIS. Your earlier insight about the industry's lukewarm stance on RIS deployment vs mini base stations-despite its theoretical advantages-feels like a real-world example of why focusing on fundamental principles in wireless communications is more future-proof than chasing specific technologies. As an undergraduate student currently researching RIS elemental performance aging and calibration (particularly for less ideal environmental conditions), I can see how long-term reliability concerns might further limit its industrial adoption. Given this, how would you advise someone like me-aspiring to pursue research in wireless communications-to navigate this evolving landscape? What core competencies should I focus on to stay relevant in the long run? Again, really insightful content!
Sometimes I feel confused whether I should work or continue to research . On the one hand, I really enjoy the happiness research brings to me. But u know, researchers usually don’t get much high salaries when young so the economic pressure is a big deal. Additionally, now becoming a researcher in a university is more and more difficult. There is too many requirements.
Most of the technology-related research is done in the industry, not academia. Basic research is spearheaded by academia, and applied research is by the industry. Hence, if you find the right company, you can both work and do research. One of the main purposes of the PhD program at my university is to educate telecom PhDs who then join the industry (often Ericsson). Only a small fraction of the graduates stay in academia throughout their careers. If you want to explore if an academic career is something for you, then you should try becoming a postdoc and practice becoming an independent researcher who can learn new things and identify new problems to solve. Those skills are necessary to acquire the funding you need as a professor, and it is more challenging than performing the research that other people identified for you. Good luck!
I am reading in one of your books. In uncorr. Rayleigh fading we get h=N_C(0,beta_kl*I_N). You write that the compl. GAUSSIAN distrib. accounts for the random small scale fading. Later you write "Moreover, the variance beta_kl describes the large scale fading.....". To me, it sounds a bit contradicting (small scale fading and then large scale fading). Or does it accounts for both? Thank you.
This question seems to be off-topic for this video. The fading phenomenon is usually divided into two parts: the rapid variations created by small-scale movements and the slow variations created by large-scale movements. This is often modeled by having a random distribution where the randomness describe the small-scale effect and the variance describes the current large-scale effect. When users move over large distances, the variance must also be updated. There are pathloss models with random “shadow fading” that can be used to generate the variance (called beta in this case)
Hello, this channel has been my best discovery in 2024, thank you for sharing this knowledge. The focus on methodologies before applications is very true. I've been spending so much time looking for what to study in my postgraduate program and what to research, with fear about the rapid technological evolution and that what I study might become obsolete. Then I realized that it's more important to learn the fundamentals and basics, so then one can move between fields and applications. Thank you Prof.
Prof. Bjornson gives solid advice. Even after thesis submission, the landscape in wireless communications research remains as challenging as ever; to our fortune, there seems to be no shortage of research problems to solve which would bring benefits to society.
thank you, professor, Stay updating . you are doing everything well
Thank you for sharing such a valuable and insightful roadmap along with the methodologies!
Great video, Professor Björnson! The emphasis on methodologies over applications really resonated with me, especially in the context of RIS. Your earlier insight about the industry's lukewarm stance on RIS deployment vs mini base stations-despite its theoretical advantages-feels like a real-world example of why focusing on fundamental principles in wireless communications is more future-proof than chasing specific technologies.
As an undergraduate student currently researching RIS elemental performance aging and calibration (particularly for less ideal environmental conditions), I can see how long-term reliability concerns might further limit its industrial adoption. Given this, how would you advise someone like me-aspiring to pursue research in wireless communications-to navigate this evolving landscape? What core competencies should I focus on to stay relevant in the long run?
Again, really insightful content!
thanks so much for the amazing and timely advices
Thank you for your valuable insights and guidance.
Sometimes I feel confused whether I should work or continue to research . On the one hand, I really enjoy the happiness research brings to me. But u know, researchers usually don’t get much high salaries when young so the economic pressure is a big deal. Additionally, now becoming a researcher in a university is more and more difficult. There is too many requirements.
Most of the technology-related research is done in the industry, not academia. Basic research is spearheaded by academia, and applied research is by the industry. Hence, if you find the right company, you can both work and do research. One of the main purposes of the PhD program at my university is to educate telecom PhDs who then join the industry (often Ericsson). Only a small fraction of the graduates stay in academia throughout their careers. If you want to explore if an academic career is something for you, then you should try becoming a postdoc and practice becoming an independent researcher who can learn new things and identify new problems to solve. Those skills are necessary to acquire the funding you need as a professor, and it is more challenging than performing the research that other people identified for you. Good luck!
I am reading in one of your books. In uncorr. Rayleigh fading we get h=N_C(0,beta_kl*I_N). You write that the compl. GAUSSIAN distrib. accounts for the random small scale fading.
Later you write "Moreover, the variance beta_kl describes the large scale fading.....".
To me, it sounds a bit contradicting (small scale fading and then large scale fading).
Or does it accounts for both?
Thank you.
This question seems to be off-topic for this video.
The fading phenomenon is usually divided into two parts: the rapid variations created by small-scale movements and the slow variations created by large-scale movements. This is often modeled by having a random distribution where the randomness describe the small-scale effect and the variance describes the current large-scale effect. When users move over large distances, the variance must also be updated. There are pathloss models with random “shadow fading” that can be used to generate the variance (called beta in this case)
Very insightful. Thank u professor!