made first impressions on lab_2

lab_2/lab_2.asv

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+number_of_senders = 4;
+number_of_timeslots = 1000;
+access_probability = 0:0.01:1;
+
+access_probability_length = length(access_probability);
+
+sender_rands = zeros(number_of_senders);
+%       | slot1 | slot
+% prob1 |
+result = zeros(access_probability_length, number_of_timeslots);
+
+% simulate all time slots on each probability
+for probability_idx = 1 : access_probability_length
+    
+    current_result = zeros(access_probability_length);
+    probability = access_probability(probability_idx);
+
+    for i = 1 : number_of_timeslots
+        % generate random sender accesses
+        for j = 1 : number_of_senders
+            sender_rands(j) = rand();
+        end
+    
+        
+    end
+
+    result(probability_idx, :) = current_result;
+end

lab_2/lab_2.m

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+number_of_senders = 4;
+number_of_timeslots = 1000;
+access_probability = 0:0.01:1;
+
+access_probability_length = length(access_probability);
+
+sender_access = zeros(number_of_senders);
+
+%       | slot1 | slot2 | ...
+% prob1 |       |       | ...
+% prob2 |       |       | ... 
+%  ...  |  ...  |  ...  | ...
+result = zeros(access_probability_length, number_of_timeslots);
+
+% simulate all time slots on each probability
+for probability_idx = 1 : access_probability_length
+    
+    current_result = zeros(1, number_of_timeslots);
+    probability = access_probability(probability_idx);
+
+    for time_slot = 1 : number_of_timeslots
+        % generate random sender accesses by probability
+        sender_access = zeros(1, number_of_senders);
+        for sender = 1 : number_of_senders
+            if rand() < access_probability(probability_idx)
+                sender_access(1, sender) = 1;
+            end
+        end
+    
+        current_result(1, time_slot) = sum(sender_access(1, :)) == 1;
+    end
+
+    result(probability_idx, :) = current_result;
+end
+
+disp(result(floor(access_probability_length / 2), 1:100))