Nice presentation Dr. Dear Dr have tutorial on 1. Singular value decomposition (svd),based semi blind channel estimation for massive MIMO. 2. Iindependent component analysis (ica) based blind channel estimation for massive MIMO.
There is no one in our group working on that topic. But you can find Matlab code related to many other things related to Massive MIMO here: github.com/emilbjornson
Hello sir at this point of video 20.09 i have a query that here the users are stationary or moving and Acess Points are placed equidistant ,if is it so ,how mch distance we keep to place the AP and also between users?
The users and access points can distributed in any way. The distances will normally be different but coherent transmission is anyway useful. If the users move, the clusters of serving access points will also change over time.
If we use IAB to realize imperfect CSI(considering latency due to IAB, and some possible compression) among APs in distributed cell free MIMO, I guess we still can get a medium performance between centralized cell free and distributed cell free? Another question is: cell free needs UE to operate joint operations from multi AP antennas. it should be same or similar with SU MIMO, is there any trap here, for example higher computation complexity request?
It is hard to guess how a particular implementation will work. The UEs are not cooperating and don't even need to know about each others' existence. The important thing is that they synchronize themselves with the APs. All the complexity is at the AP side and the complexity is fairly low; much simpler than in the Massive MIMO systems that are being deployed in 5G.
When two signals are added together, this happens in the amplitude domain. So we take the square root of the signal powers to get the amplitudes, add them together and then take the square to get the power of the combined signal.
If you are asking about open research problems, then I recommend the list at the end of this paper: jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1507-0
![Ep 13. Distributed and Cell-Free Massive MIMO [Wireless Future Podcast]](http://i.ytimg.com/vi/X4i35uB8hWQ/mqdefault.jpg)
Thanks Dr.Emil for providing such nice explanation about cell-free massive MIMO
Superb! A lot of thanks, professor
Thank you Prof. for your video.
Very helpful. Thanks alot for making such content
Nice presentation Dr. Dear Dr have tutorial on 1. Singular value decomposition (svd),based semi blind channel estimation for massive MIMO.
2. Iindependent component analysis (ica) based blind channel estimation for massive MIMO.
Unfortunately, there are no tutorials on these topics in the pipeline.
Dear Dr. Would you mind help me on the matlab code of the above question.
There is no one in our group working on that topic. But you can find Matlab code related to many other things related to Massive MIMO here: github.com/emilbjornson
Hello sir at this point of video 20.09 i have a query that here the users are stationary or moving and Acess Points are placed equidistant ,if is it so ,how mch distance we keep to place the AP and also between users?
The users and access points can distributed in any way. The distances will normally be different but coherent transmission is anyway useful. If the users move, the clusters of serving access points will also change over time.
If we use IAB to realize imperfect CSI(considering latency due to IAB, and some possible compression) among APs in distributed cell free MIMO, I guess we still can get a medium performance between centralized cell free and distributed cell free? Another question is: cell free needs UE to operate joint operations from multi AP antennas. it should be same or similar with SU MIMO, is there any trap here, for example higher computation complexity request?
It is hard to guess how a particular implementation will work.
The UEs are not cooperating and don't even need to know about each others' existence. The important thing is that they synchronize themselves with the APs. All the complexity is at the AP side and the complexity is fairly low; much simpler than in the Massive MIMO systems that are being deployed in 5G.
@@WirelessFuture Got it, tack så mycket!
Why we take this (sqrt(p/2).Sqrt(Beta)+sqrt(p/2).Sqrt(Beta)))^2 = 2.pBeta ?
@Prof. Dr. Emil
When two signals are added together, this happens in the amplitude domain. So we take the square root of the signal powers to get the amplitudes, add them together and then take the square to get the power of the combined signal.
@@WirelessFuture Thank you, sir, Love you,
What are the majpr challenges in this technology?
If you are asking about open research problems, then I recommend the list at the end of this paper: jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1507-0
At 28:20, I would rather call the left figure as noodles monster :)
It is actually the “flying spaghetti monster”
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