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Mayowa's Blog | Communications, Signal Processing and Scientific ComputingCommunications, Signal Processing and Scientific Computing
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Communications, Signal Processing and Scientific Computing
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Communications, Signal Processing and Scientific Computing
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December | 2009 | Mayowa's Blog
https://dspworks.wordpress.com/2009/12
Communications, Signal Processing and Scientific Computing. Archive for December, 2009. Creating N Random points in a Hexagon. December 25, 2009. In the code, I will create a hexagon centered at (0,0) with radius R. The snipplets can be used in mobile capacity predicts and general systems level simulation of cellular networks. N = 40; %Number of users. R = 10; %Radius of Hexagon. Vertexes of the hexagon. They for angles 0, 60, 120, 180, 240 and 300 withe origin. V x = R * cos( 0:6)*pi/3);. C x = c x(IN);.
About | Mayowa's Blog
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Communications, Signal Processing and Scientific Computing. I am interested in a rather random collection of things including Wireless Communication, Signal Processing, Mathematics, Statistics, Linux, and programming and, I am starting to blog. In this blog I write about several things; communication algorithms and implementation snippets. Hopefully many people other than myself will find them very useful. I look forward to collaboration, please do leave a feedback. Creating N Random points in a Hexagon.
Creating N Random points in a Hexagon | Mayowa's Blog
https://dspworks.wordpress.com/2009/12/25/creating-n-random-points-in-a-hexagon
Communications, Signal Processing and Scientific Computing. Creating N Random points in a Hexagon. Creating N Random points in a Hexagon. December 25, 2009. In the code, I will create a hexagon centered at (0,0) with radius R. The snipplets can be used in mobile capacity predicts and general systems level simulation of cellular networks. N = 40; %Number of users. R = 10; %Radius of Hexagon. Vertexes of the hexagon. They for angles 0, 60, 120, 180, 240 and 300 withe origin. V x = R * cos( 0:6)*pi/3);.
Simulating M/M/1 queue in MATLAB | Mayowa's Blog
https://dspworks.wordpress.com/2009/12/24/simulating-mm1-queue-in-matlab
Communications, Signal Processing and Scientific Computing. Simulating M/M/1 queue in MATLAB. Simulating M/M/1 queue in MATLAB. December 24, 2009. M/M/1 can be modeled in MATLAB using Discrete Event simulation. The arrival rate is. And the service time is. The interarrival times and the services times are exponentially distributed. A vector of exponentially distributed interarrival and service times are generated. We need to convert the expression. This is equivalent to. U1 = rand(seed1, 1, NSamples);.
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Communications, Signal Processing and Scientific Computing. Creating N Random points in a Hexagon. December 25, 2009. In wireless communication there is a concept in which frequencies are allocated to an area in a regular pattern of areas, called ‘cells’. In modeling and simulation the hexagonal cell is usually used. The following routine describes how random nodes can be created in the cell area. The nodes created are random enough for all practical purposes. N = 40; %Number of users. C x = c x(IN);.
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Mayowa's Blog | Communications, Signal Processing and Scientific Computing
Communications, Signal Processing and Scientific Computing. Creating N Random points in a Hexagon. December 25, 2009. In wireless communication there is a concept in which frequencies are allocated to an area in a regular pattern of areas, called ‘cells’. In modeling and simulation the hexagonal cell is usually used. The following routine describes how random nodes can be created in the cell area. The nodes created are random enough for all practical purposes. N = 40; %Number of users. C x = c x(IN);.
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