# Given number of base stations and users , how can I accociate each user to the nearest base station?

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omar th on 14 Dec 2021
Commented: Walter Roberson on 19 Dec 2021
I deployed the BSs and Users randomly according to Binomial Point Process, and I assumed to connect each user to nearest BS. So, how can I accociate these users in matlab.
ro=500; % radius of the layout circle
NumBSs=10; % Number of Base stations
NumUEs=50; %Number of users
center=[0 0]; % center of the circle
theta_BSs=2*pi*(rand(NumPoints,1)); % distributed random number of Base stations
g = 0.5 * ro + 0.5 * ro * rand(NumBSs,1);
PosBSs_x=center(1)+g.*cos(theta_BSs);
PosBSs_y=center(2)+g.*sin(theta_BSs);
theta1 = rand(NumUEs, 1) * 2*pi; % distributed random number of Users
r1 = ro * sqrt(rand(NumUEs, 1));
PosUE = [r1 .* cos(theta1(:)) + center(1),r1 .* sin(theta1(:)) + center(2)];
% Initial plot objects
hfig = figure('Color', 'w');
hax=axes('parent',hfig);
% Plot of deploying points
hdots=plot(PosBSs_x(:,1),PosBSs_y(:,1),'bp',PosUE(:,1),PosUE(:,2),'r.','MarkerSize', 12);
grid on
hold(hax, 'on')
axis(hax, 'equal')
% Plot the layout as circles
t = linspace(0, 2*pi);
plot(ro * cos(t) + center(1),ro * sin(t) + center(2))

Walter Roberson on 14 Dec 2021
pdist2() the coordinates of the stations against the coordinates of the base stations to find the distance from each station to each base station. Then min() along the appropriate axes to determine the index to use.
Walter Roberson on 19 Dec 2021
For the purposes of pdist2(), you should be using rows in which each row represents one point. If some of your coefficients are represented by columns instead of rows, transpose them.
If you base stations and ground base station are represented by different spatial dimensions (for example, 2D for base stations but 3d for ground base stations), then you need to convert the coordinates to all be the longer length, perhaps by padding with zero.

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