How it will work,

- Start with the random environment.
- A lot of users will connect to the nodes I (based on only distance)
- This will happen because they will all sit very close to the node and first connection is based strictly on distance from the node
- Once this is done, we can show how our paper will do it, you don't have to implement this, we will use their results from the paper.
- Now we start with SELA
- You will go through and look at the table of each CPE (node)
- Each CPE will have the criteria mentioned in page two of the scan
- You will already have calculated the distance of each PU to each node.
- Ignore all idle (inactive nodes)
- If the distance is greater than 100m, we consider that as idle for that PU
- You will then calculate how many PUs are connected to a node (CPE)
- For each PU connected to a node, subtract 1 from the count
- Then calculate how much power each CPE has (assign each one 100)
- 1 unit of power can support one PU
- You will then calculate the SINR (this is simply based on total bandwidth/# PUs) for each CPE
- Now, for the probabilities
- If the CPE is idle you give it a 0 (impossible to connect - flag set)
- If the CPE is too far > 100 you give it a 0 (impossible to connect - flag set)
- If the CPE doesn't have enough power you give it a 0 (impossible to connect - flag set)
- I have written out the rest of the probabilities in sheet 2 and 3
- Now, take all the probabilities and add them together based on weightings for each node for each PU (summation formula – very simple)
- Now, when you add these, they will give you a number that will be your estimator (vector)
- Select the CPE with the highest estimator and that is the one you will connect the PU to
- After you connect the PUs you update your information
- Set the current vector as the old vector
- Now calculate a new vector as you did before and start all over

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