diff --git a/python/sglang/srt/managers/scheduler.py b/python/sglang/srt/managers/scheduler.py
index 8253a303b..14ed362cf 100644
--- a/python/sglang/srt/managers/scheduler.py
+++ b/python/sglang/srt/managers/scheduler.py
@@ -1399,29 +1399,6 @@ class Scheduler(
             self.metrics_collector.log_stats(self.stats)
         self._publish_kv_events()
 
-    def coordinate_spec_dp_attn_batch(self, new_batch: Optional[ScheduleBatch]):
-        """Coordinate the DP attention batch."""
-
-        local_info = torch.tensor(
-            [
-                (new_batch is not None),
-            ],
-            dtype=torch.int64,
-        )
-        global_info = torch.empty(
-            (self.server_args.dp_size, self.attn_tp_size, 1),
-            dtype=torch.int64,
-        )
-        torch.distributed.all_gather_into_tensor(
-            global_info.flatten(),
-            local_info,
-            group=self.tp_cpu_group,
-        )
-        any_new_batch = any(
-            global_info[:, 0, 0].tolist()
-        )  # Any DP worker has forward batch
-        return any_new_batch
-
     def get_next_batch_to_run(self) -> Optional[ScheduleBatch]:
         # Merge the prefill batch into the running batch
         chunked_req_to_exclude = set()
@@ -1456,13 +1433,15 @@ class Scheduler(
 
         new_batch = self.get_new_batch_prefill()
 
-        # TODO(ch-wan): minor refactor is needed here to improve readability
-        any_new_batch = (
-            self.server_args.enable_dp_attention
-            and not self.spec_algorithm.is_none()
-            and self.coordinate_spec_dp_attn_batch(new_batch)
-        )
-        if new_batch is not None or any_new_batch:
+        need_dp_attn_preparation = require_mlp_sync(self.server_args)
+
+        if need_dp_attn_preparation and not self.spec_algorithm.is_none():
+            # In speculative decoding, prefill batches and decode batches cannot be processed in the same DP attention group.
+            # We prepare idle batches in advance to skip preparing decode batches when there are prefill batches in the group.
+            new_batch, _ = self.prepare_dp_attn_batch(new_batch)
+            need_dp_attn_preparation = new_batch is None
+
+        if new_batch is not None:
             # Run prefill first if possible
             ret = new_batch
         else:
@@ -1473,8 +1452,9 @@ class Scheduler(
             else:
                 ret = None
 
-        if require_mlp_sync(self.server_args):
-            ret, _ = self.prepare_mlp_sync_batch(ret)
+        # Handle DP attention
+        if need_dp_attn_preparation:
+            ret, _ = self.prepare_dp_attn_batch(ret)
 
         return ret