Code for FDD based cell free Massive MIMO system (2024)

10 views (last 30 days)

Show older comments

Deepika Puli on 1 Apr 2019

  • Link

    Direct link to this question

    https://www.mathworks.com/matlabcentral/answers/453642-code-for-fdd-based-cell-free-massive-mimo-system

  • Link

    Direct link to this question

    https://www.mathworks.com/matlabcentral/answers/453642-code-for-fdd-based-cell-free-massive-mimo-system

Answered: Karim on 13 Nov 2023

I need the MATLAB code for FDD based Cell free Massive MIMO system,

Can anyone share if u have

1 Comment

Show -1 older commentsHide -1 older comments

Biruk Assefa on 21 Mar 2020

Direct link to this comment

https://www.mathworks.com/matlabcentral/answers/453642-code-for-fdd-based-cell-free-massive-mimo-system#comment_813091

Please I also need the MatLab Code for FDD cell free Massive MIMO system???

Sign in to comment.

Sign in to answer this question.

Answers (2)

Karim on 13 Nov 2023

  • Link

    Direct link to this answer

    https://www.mathworks.com/matlabcentral/answers/453642-code-for-fdd-based-cell-free-massive-mimo-system#answer_1351660

  • Link

    Direct link to this answer

    https://www.mathworks.com/matlabcentral/answers/453642-code-for-fdd-based-cell-free-massive-mimo-system#answer_1351660

Open in MATLAB Online

%This Matlab script can be used to reproduce Figure 5.9(a) in the monograph: % %Ozlem Tugfe Demir, Emil Bjornson and Luca Sanguinetti (2021), %"Foundations of User-Centric Cell-Free Massive MIMO", %Foundations and Trends in Signal Processing: Vol. 14: No. 3-4, %pp 162-472. DOI: 10.1561/2000000109 % %This is version 1.1 (Last edited: 2021-09-17) % %License: This code is licensed under the GPLv2 license. If you in any way %use this code for research that results in publications, please cite our %monograph as described above.

%Empty workspace and close figures close all; clear;

%Do not display warnings in the compuation of spatial correlation matrix %using numerical integration in Cellular Massive MIMO warning('off','all')

%% Define simulation setup

%Number of Monte-Carlo setups nbrOfSetups = 128;

%Number of channel realizations per setup nbrOfRealizations = 1000;

%Number of APs L = 400;

%Number of antennas per AP N = 1;

%Number of UEs in the network K = 40;

%Length of coherence block tau_c = 200;

%Angular standard deviation in the local scattering model (in radians) ASD_varphi = deg2rad(15); %azimuth angle ASD_theta = deg2rad(15); %elevation angle

%Number of BSs in the cellular network (cannot be changed) nbrBSs = 4;

%Number of antennas at the 4 BSs M = 100;

%Length of pilot sequences tau_p = K/nbrBSs;

%% Propagation parameters

%Total uplink transmit power per UE (mW) p = 100;

%Prepare to save simulation results SE_BS_MMSE = zeros(K,nbrOfSetups); %Cellular Massive MIMO, L-MMSE SE_Genie_Small_MMSE = zeros(K,nbrOfSetups); %Small-cell, L-MMSE SE_PMMSE_DCC = zeros(K,nbrOfSetups); %Centralized, P-MMSE SE_nopt_LPMMSE_DCC = zeros(K,nbrOfSetups); %Distributed, n-opt LSFD, LP-MMSE

%% Go through all setups for n = 1:nbrOfSetups

%Display simulation progress

disp(['Setup ' num2str(n) ' out of ' num2str(nbrOfSetups)]);

%Generate one setup with UEs and APs at random locations

[gainOverNoisedB_AP,gainOverNoisedB_BS,R_AP,R_BS,pilotIndex,BSassignment,D,D_small] = generateSetup_with_cellular(L,K,N,M,1,0,ASD_varphi,ASD_theta);

%Generate channel realizations with estimates and estimation

%error correlation matrices for Cell-free Massive MIMO

[Hhat_AP,H_AP,B_AP,C_AP] = functionChannelEstimates(R_AP,nbrOfRealizations,L,K,N,tau_p,pilotIndex,p);

%Generate channel realizations, channel estimates, and estimation

%error correlation matrices for Cellular Massive MIMO

[Hhat_BS,~,~,C_BS] = functionChannelEstimates(R_BS,nbrOfRealizations,nbrBSs,K,M,tau_p,pilotIndex,p);

%%Cellular Setup

%Compute SE for the Cellular Massive MIMO system

SE_BS_MMSE(:,n) = functionComputeSE_cellular_uplink(Hhat_BS,C_BS,BSassignment,tau_c,tau_p,nbrOfRealizations,M,K,nbrBSs,p);

%%Cell-Free Massive MIMO with DCC and Small-Cell System

%Compute SEs for the Cell-free Massive MIMO and small-cell system

[SE_MMSE, SE_P_MMSE, SE_P_RZF, SE_MR_cent, ...

SE_opt_L_MMSE,SE_nopt_LP_MMSE, SE_nopt_MR, ...

SE_L_MMSE, SE_LP_MMSE, SE_MR_dist, ...

Gen_SE_P_MMSE, Gen_SE_P_RZF, Gen_SE_LP_MMSE, Gen_SE_MR_dist,...

SE_small_MMSE, Gen_SE_small_MMSE] ...

= functionComputeSE_uplink(Hhat_AP,H_AP,D,D_small,B_AP,C_AP,tau_c,tau_p,nbrOfRealizations,N,K,L,p,R_AP,pilotIndex);

%Save SE values

SE_Genie_Small_MMSE(:,n) = Gen_SE_small_MMSE;

SE_PMMSE_DCC(:,n) = SE_P_MMSE;

SE_nopt_LPMMSE_DCC(:,n) = SE_nopt_LP_MMSE;

%Remove large matrices at the end of analyzing this setup

clear Hhat_AP Hhat_BS H_AP H_BS B_AP C_AP C_BS R_BS R_AP;

end

%% Plot simulation results % Plot Figure 5.9(a) figure; hold on; box on; set(gca,'fontsize',16);

plot(sort(SE_BS_MMSE(:)),linspace(0,1,K*nbrOfSetups),'k-','LineWidth',2); plot(sort(SE_Genie_Small_MMSE(:)),linspace(0,1,K*nbrOfSetups),'r-.','LineWidth',2); plot(sort(SE_PMMSE_DCC(:)),linspace(0,1,K*nbrOfSetups),'b--','LineWidth',2); plot(sort(SE_nopt_LPMMSE_DCC(:)),linspace(0,1,K*nbrOfSetups),'b-','LineWidth',2);

xlabel('Spectral efficiency [bit/s/Hz]','Interpreter','Latex'); ylabel('CDF','Interpreter','Latex'); legend({'Cellular Massive MIMO, L-MMSE','Small-cell, L-MMSE','Centralized, P-MMSE','Distributed, n-opt LSFD, LP-MMSE'},'Interpreter','Latex','Location','NorthWest'); xlim([0 12]);

0 Comments

Show -2 older commentsHide -2 older comments

Sign in to comment.

Karim on 13 Nov 2023

  • Link

    Direct link to this answer

    https://www.mathworks.com/matlabcentral/answers/453642-code-for-fdd-based-cell-free-massive-mimo-system#answer_1351665

  • Link

    Direct link to this answer

    https://www.mathworks.com/matlabcentral/answers/453642-code-for-fdd-based-cell-free-massive-mimo-system#answer_1351665

Open in MATLAB Online

%Display simulation progress

disp(['Setup ' num2str(n) ' out of ' num2str(nbrOfSetups)]);

%Generate one setup with UEs and APs at random locations

[gainOverNoisedB_AP,gainOverNoisedB_BS,R_AP,R_BS,pilotIndex,BSassignment,D,D_small] = generateSetup_with_cellular(L,K,N,M,1,0,ASD_varphi,ASD_theta);

%Generate channel realizations with estimates and estimation

%error correlation matrices for Cell-free Massive MIMO

[Hhat_AP,H_AP,B_AP,C_AP] = functionChannelEstimates(R_AP,nbrOfRealizations,L,K,N,tau_p,pilotIndex,p);

%Generate channel realizations, channel estimates, and estimation

%error correlation matrices for Cellular Massive MIMO

[Hhat_BS,~,~,C_BS] = functionChannelEstimates(R_BS,nbrOfRealizations,nbrBSs,K,M,tau_p,pilotIndex,p);

%%Cellular Setup

%Compute SE for the Cellular Massive MIMO system

SE_BS_MMSE(:,n) = functionComputeSE_cellular_uplink(Hhat_BS,C_BS,BSassignment,tau_c,tau_p,nbrOfRealizations,M,K,nbrBSs,p);

%%Cell-Free Massive MIMO with DCC and Small-Cell System

%Compute SEs for the Cell-free Massive MIMO and small-cell system

[SE_MMSE, SE_P_MMSE, SE_P_RZF, SE_MR_cent, ...

SE_opt_L_MMSE,SE_nopt_LP_MMSE, SE_nopt_MR, ...

SE_L_MMSE, SE_LP_MMSE, SE_MR_dist, ...

Gen_SE_P_MMSE, Gen_SE_P_RZF, Gen_SE_LP_MMSE, Gen_SE_MR_dist,...

SE_small_MMSE, Gen_SE_small_MMSE] ...

= functionComputeSE_uplink(Hhat_AP,H_AP,D,D_small,B_AP,C_AP,tau_c,tau_p,nbrOfRealizations,N,K,L,p,R_AP,pilotIndex);

%Save SE values

SE_Genie_Small_MMSE(:,n) = Gen_SE_small_MMSE;

SE_PMMSE_DCC(:,n) = SE_P_MMSE;

SE_nopt_LPMMSE_DCC(:,n) = SE_nopt_LP_MMSE;

%Remove large matrices at the end of analyzing this setup

clear Hhat_AP Hhat_BS H_AP H_BS B_AP C_AP C_BS R_BS R_AP;

0 Comments

Show -2 older commentsHide -2 older comments

Sign in to comment.

Sign in to answer this question.

See Also

Categories

Wireless CommunicationsCommunications ToolboxLink-Level Simulation

Find more on Link-Level Simulation in Help Center and File Exchange

Tags

  • massive mimo

Products

  • MATLAB

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

An Error Occurred

Unable to complete the action because of changes made to the page. Reload the page to see its updated state.


Code for FDD based cell free Massive MIMO system (5)

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

You can also select a web site from the following list

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom(English)

Asia Pacific

Contact your local office

Code for FDD based cell free Massive MIMO system (2024)

References

Top Articles
Latest Posts
Article information

Author: The Hon. Margery Christiansen

Last Updated:

Views: 6035

Rating: 5 / 5 (50 voted)

Reviews: 81% of readers found this page helpful

Author information

Name: The Hon. Margery Christiansen

Birthday: 2000-07-07

Address: 5050 Breitenberg Knoll, New Robert, MI 45409

Phone: +2556892639372

Job: Investor Mining Engineer

Hobby: Sketching, Cosplaying, Glassblowing, Genealogy, Crocheting, Archery, Skateboarding

Introduction: My name is The Hon. Margery Christiansen, I am a bright, adorable, precious, inexpensive, gorgeous, comfortable, happy person who loves writing and wants to share my knowledge and understanding with you.