Update readme - add plot and citation

README.md

@@ -14,6 +14,18 @@ The tool includes statistical analysis of radio interference to assess the syste
 
 One example application of this framework includes exploring the techno-economics of 5G infrastructure sharing strategies.
 
+Citations
+=========
+
+- E. J. Oughton, K. Katsaros, F. Entezami, D. Kaleshi, and J. Crowcroft,
+  ‘An Open-Source Techno-Economic Assessment Framework for 5G Deployment’,
+  IEEE Access, vol. 7, pp. 155930–155940, 2019, https://doi.org/10.1109/ACCESS.2019.2949460.
+
+Example results
+===============
+![Example](/example_results.png)
+
+
 Setup and configuration
 =======================
 
@@ -55,7 +67,7 @@ The run the tests:
 To generate results run:
 
     python scripts/run.py
-    
+
 To visualize the results, install `matplotlib`, `pandas` and `seaborn`:
 
     conda install matplotlib pandas seaborn

scripts/run.py

@@ -986,11 +986,11 @@ def run_simulator(parameters, spectrum_portfolio,
 if __name__ == '__main__':
 
     PARAMETERS = {
-        'iterations': 5,
+        'iterations': 100,
         'seed_value1': 1,
         'seed_value2': 2,
         'indoor_users_percentage': 50,
-        'los_breakpoint_m': 250,
+        'los_breakpoint_m': 500,
         'tx_macro_baseline_height': 30,
         'tx_macro_power': 40,
         'tx_macro_gain': 16,
@@ -1007,9 +1007,8 @@ def run_simulator(parameters, spectrum_portfolio,
         'street_width': 20,
         'above_roof': 0,
         'network_load': 50,
-        'percentile': 10,
+        'percentile': 50,
         'sectorization': 3,
-        #'overbooking_factor': 50,
         'mnos': 2,
         'asset_lifetime': 10,
         'discount_rate': 3.5,
@@ -1087,8 +1086,7 @@ def generate_site_radii(min, max, increment):
         for n in range(min, max, increment):
             yield n
 
-
-    INCREMENT_MA = (400,30400, 400)
+    INCREMENT_MA = (400, 30400, 400)
     INCREMENT_MI = (25, 500, 25)
 
     SITE_RADII = {