Fix convention for users' power

Python/Model_N_receivers.py

@@ -21,7 +21,7 @@ def generate(g, sigma, P, N):
     signes = [i + 1 for i in range(len(S)) if S[i] == 1]
 
     # Knowing the signs, we can compute the values of the amplitude for each user
-    r = [math.sqrt(P[i] / 2) * sgn(signes, i + 1) for i in range(len(P))]
+    r = [math.sqrt(P[i]) * sgn(signes, i + 1) for i in range(len(P))]
 
     # Sum the signals (to do NOMA)
     x = sum(r)
@@ -43,9 +43,9 @@ def decode(y, g, P, N):
     for i in range(N, 0, -1):
         # Decode the bit at index i
         if y > 0:
-            r_decoded.insert(0, g * math.sqrt(P[i - 1] / 2))
+            r_decoded.insert(0, g * math.sqrt(P[i - 1]))
         else:
-            r_decoded.insert(0, -g * math.sqrt(P[i - 1] / 2))
+            r_decoded.insert(0, -g * math.sqrt(P[i - 1]))
 
         # Remove this decoded value from the interpreted value
         y -= r_decoded[0]

Python/Theory_N_receivers.py

@@ -73,7 +73,7 @@ def theory(g, sigma, P, N, nuser=-1):
             signes_bar = [i + 1 for i in range(len(s)) if s[i] == 0]
 
             # Knowing the signs, the r_n can be computer
-            r = [math.sqrt(P[i] / 2) * sgn(signes, i + 1) for i in range(len(P))]
+            r = [math.sqrt(P[i]) * sgn(signes, i + 1) for i in range(len(P))]
 
             for e in E_n:
                 # Find the indices where an error is expected

Python/Theory_N_receivers_auto_develop.py

@@ -59,13 +59,13 @@ def boundary_string(n, signs, epsilon, N_u):
         nbr_items += power_coeffs[i - 1] != 0
 
         if power_coeffs[i - 1] == 2:
-            formula += " + 2 \\sqrt{\\frac{P_{" + str(i) + "}}{2}}"
+            formula += " + 2 \\sqrt{P_{" + str(i) + "}}"
         elif power_coeffs[i - 1] == 1:
-            formula += " + \\sqrt{\\frac{P_{" + str(i) + "}}{2}}"
+            formula += " + \\sqrt{P_{" + str(i) + "}}"
         elif power_coeffs[i - 1] == -1:
-            formula += " - \\sqrt{\\frac{P_{" + str(i) + "}}{2}}"
+            formula += " - \\sqrt{P_{" + str(i) + "}}"
         elif power_coeffs[i - 1] == -2:
-            formula += " - 2 \\sqrt{\\frac{P_{" + str(i) + "}}{2}}"
+            formula += " - 2 \\sqrt{P_{" + str(i) + "}}"
 
     # Format it (remove the leading " + ", and replace the leading " - " by "-")
     if len(formula) > 0: