diff --git a/plot_single_transmission_EM9190.py b/plot_single_transmission_EM9190.py
index d316d4d..d5b4d5e 100755
--- a/plot_single_transmission_EM9190.py
+++ b/plot_single_transmission_EM9190.py
@@ -145,10 +145,8 @@ if __name__ == "__main__":
             0, np.NaN
         )
         transmission_df["RSRQ_(dB)"] = transmission_df["RSRQ_(dB)"].replace(0, np.NaN)
-        # stacked plot for bandwidth
-        # transmission_df["lte_bw_sum"] = transmission_df["bw_sum"] - transmission_df["NR5G_dl_bw"]
-        # transmission_df["nr_bw_sum"] = transmission_df["NR5G_dl_bw"]
 
+        # filter active state
         for i in range(1, 5):
             transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[
                 "LTE_SCC{}_bw".format(i)
@@ -159,7 +157,14 @@ if __name__ == "__main__":
                 "LTE_SCC{}_effective_bw".format(i)
             ].where(mask, other=0)
 
-            # df = df.filter(["LTE_SCC1_state", "LTE_SCC1_bw", "LTE_SCC1_effective_bw"])
+        # filter if sc is usesd for uplink
+        for i in range(1, 5):
+            mask = transmission_df["LTE_SCC{}_UL_Configured".format(i)].isin([False])
+            transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[
+                "LTE_SCC{}_effective_bw".format(i)
+            ].where(mask, other=0)
+
+        # sum all effective bandwidth for 5G and 4G
         transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[
             "SCC1_NR5G_bw"
         ].fillna(0)
diff --git a/plot_stacked_bandwidth.py b/plot_stacked_bandwidth.py
index 35d16cb..f3bb376 100755
--- a/plot_stacked_bandwidth.py
+++ b/plot_stacked_bandwidth.py
@@ -6,6 +6,22 @@ from argparse import ArgumentParser
 import pandas as pd
 import matplotlib.pyplot as plt
 
+
+plt_params = {
+    "pgf.texsystem": "lualatex",
+    "legend.fontsize": "x-large",
+    "figure.figsize": (15, 5),
+    "axes.labelsize": 15,  # "small",
+    "axes.titlesize": "x-large",
+    "xtick.labelsize": 15,  # "small",
+    "ytick.labelsize": 15,  # "small",
+    "legend.fontsize": 15,
+    "axes.formatter.use_mathtext": True,
+    "mathtext.fontset": "dejavusans",
+}
+
+plt.rcParams.update(plt_params)
+
 if __name__ == "__main__":
     parser = ArgumentParser()
     parser.add_argument("-f", "--file", required=True, help="Serial CSV")
@@ -17,6 +33,7 @@ if __name__ == "__main__":
     df["time_rel"] = df["time"] - df["time"].iloc[0]
     df.index = df["time_rel"] / 60
 
+    # filter active state
     for i in range(1, 5):
         df["LTE_SCC{}_effective_bw".format(i)] = df["LTE_SCC{}_bw".format(i)]
 
@@ -25,6 +42,14 @@ if __name__ == "__main__":
             "LTE_SCC{}_effective_bw".format(i)
         ].where(mask, other=0)
 
+    # filter if sc is usesd for uplink
+    for i in range(1, 5):
+        mask = df["LTE_SCC{}_UL_Configured".format(i)].isin([False])
+        df["LTE_SCC{}_effective_bw".format(i)] = df[
+            "LTE_SCC{}_effective_bw".format(i)
+        ].where(mask, other=0)
+
+    # sum all effective bandwidth for 5G and 4G
     df["SCC1_NR5G_effective_bw"] = df["SCC1_NR5G_bw"].fillna(0)
     df["effective_bw_sum"] = (
         df["SCC1_NR5G_effective_bw"]
@@ -43,9 +68,11 @@ if __name__ == "__main__":
         "LTE_SCC4_effective_bw",
     ]
 
-    ax = df[bw_cols].plot.area(stacked=True)
+    ax = df[bw_cols].plot.area(stacked=True, linewidth=0)
     ax.set_ylabel("bandwidth [MHz]")
     ax.set_xlabel("time [minutes]")
+    ax.set_xlim([0,df.index[-1]])
+
 
     L = plt.legend()
     L.get_texts()[0].set_text("5G main")