final p2

P2/main.py

@@ -1,5 +1,5 @@
-import random
 import matplotlib.pyplot as plt
+import numpy as np
 
 
 # Linear Feedback Shift Register
@@ -53,14 +53,23 @@ def CRC_Parity(s, g):
 
 
 def channel_bsc(p, n):
-    f = ""
+    errors = ""
 
     for i in range(n):
-        p_i = random.random()
+        errors += "1" if np.random.random() < p else "0"
-        # p_i <= p ? F += "1" : F += "0"
-        f += "1" if p_i <= p else "0"
 
-    return f
+    return errors
+
+
+def send_channel(p, codeword, error_pattern):
+    received = ""
+
+    for j in range(len(codeword)):
+        bit1 = int(codeword[j])
+        bit2 = int(error_pattern[j])
+        received += str(bit1 ^ bit2)
+
+    return received
 
 
 def p_k_Fehler(p):
@@ -93,22 +102,133 @@ def p_k_Fehler(p):
     plt.show()
 
 
+def optimal_blocksize(p, word, poly):
+    crc_bits = len(poly) - 1
+    n = len(word)
+
+    best_datasize = float('inf')
+    best_blocksize = 0
+
+    for i in range(10):
+        block_size_i = 2 ** i
+        if block_size_i < n:
+            blocks = n / block_size_i
+            codeword_size = block_size_i + crc_bits
+            p_succesful = (1 - p) ** codeword_size
+            block_avrg_reps = 1 / p_succesful
+            block_avrg_datasize = codeword_size * block_avrg_reps
+
+            total_avrg_datasize = block_avrg_datasize * blocks
+            if total_avrg_datasize < best_datasize:
+                best_datasize = total_avrg_datasize
+                best_blocksize = block_size_i
+
+    return best_blocksize
+
+
+def generate_random_binary(n):
+    bin_string = ""
+
+    for i in range(n):
+        bin_string += "1" if np.random.random() < 0.5 else "0"
+
+    return bin_string
+
+
+def split_into_blocks(word, block_size):
+    blocks = []
+
+    for i in range(0, len(word), block_size):
+        block = word[i:i + block_size]
+        blocks.append(block)
+
+    return blocks
+
+
 def main():
     p = 0.1
+    n = 1000
+
+    detected_blocks = 0
+    repeats = 0
+    total_errors = 0
+    total_transmited_data = 0
 
     # LSB -> MSB
-    s = "110011101100101"
+    # s = "110011101100101"
+    word = generate_random_binary(n)
 
     # MSB -> LSB
-    g = "100101"
+    poly = "100101"
 
-    prf = CRC_Parity(s, g)
+    blocksize = optimal_blocksize(p, word, poly)
-    print(prf)
 
-    print(channel_bsc(p, 15))
+    blocks = split_into_blocks(word, blocksize)
 
     p_k_Fehler(p)
 
+    for i, block in enumerate(blocks):
+        # CRC-Codierung
+        crc_bits = CRC_Parity(block, poly)
+        codeword = crc_bits + block
+
+        # BSC-Kanal
+        error_pattern = channel_bsc(p, len(codeword))
+        received = send_channel(p, codeword, error_pattern)
+
+        # Fehlerprüfung
+        check = CRC_Parity(received, poly)
+
+        print(f"==========BLOCK {i + 1}==========")
+        print(f"   Codewort: {codeword}")
+        print(f"  Empfangen: {received}")
+
+        detected_blocks += 1 if "1" in check else 0
+        total_transmited_data += len(codeword)
+        repeats += 1
+
+        if "1" in check:
+            print("                      ❌ Fehler  ")
+            total_errors += error_pattern.count("1")
+        else:
+            print("                      ✅ Erfolgreich")
+
+
+        '''
+        Version in der fehlerhafte Übertragungen so lange wiederholt werden, bis sie fehlerfrei sind
+        '''
+
+        '''
+        while "1" in check:
+            print("                      ❌ Fehler  ")
+            total_errors += error_pattern.count("1")
+
+            # erneute Übertragung
+            repeats += 1
+            total_transmited_data += len(codeword)
+            error_pattern = channel_bsc(p, len(codeword))
+            received = send_channel(p, codeword, error_pattern)
+            check = CRC_Parity(received, poly)
+            print(f"  Empfangen: {received}")
+
+        print("                      ✅ Erfolgreich \n")
+
+        '''
+
+
+    # Ende
+    print("============ ERGEBNISSE ============")
+    print(f"ursprüngliche Datenmenge: {n} Bits")
+    print(f"                       p: {p * 100} %")
+    print(f"       generator Polynom: {poly}")
+    print(f"              Blockgröße: {blocksize}")
+    print(f"             Blockanzahl: {len(blocks)}")
+    print(f"  übertragene Datenmenge: {total_transmited_data} Bit")
+    print(
+        f"      fehlerfreie Blöcke: {len(blocks) - detected_blocks} = {((len(blocks) - detected_blocks) / len(blocks) * 100):.2f} %")
+    print(f"          Wiederholungen: {repeats}, ca. {(repeats / len(blocks)):.1f} p.Bl.")
+    print(f"        fehlerhafte Bits: {total_errors} Bit = {(total_errors / total_transmited_data * 100):.2f}%")
+
 
 if __name__ == '__main__':
     main()