### Apache Airflow version

2.2.2

### What happened

Current time 16:54 UTC
Execution Schedule: * * * * *
Last Run: 16:19 UTC
DAG Paused
Catchup=False

`airflow dags next-execution sample_dag`
returns
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:20:00+00:00
```

### What you think should happen instead

I would expect
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:53:00+00:00
```
To be returned since when you unpause the DAG that is the next executed DAG

### How to reproduce

Create a simple sample dag with a schedule of * * * * * and pause with catchup=False and wait a few minutes, then run 
`airflow dags next-execution sample_dag`

### Operating System

Debian

### Versions of Apache Airflow Providers

Airflow 2.2.2

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

dag_command.dag_reserialize(self.parser.parse_args(["dags", "reserialize", "--clear-only"]))
        
        with create_session() as session:
            serialized_dags_after_clear = session.query(SerializedDagModel).all()
        assert len(serialized_dags_after_clear) == 0
        
        dag_path = self.dagbag.dags["example_bash_operator"].fileloc
        
        dagbag_default = list(DagBag.__init__.__defaults__)
        dagbag_default[1] = False
        with mock.patch(
            "airflow.cli.commands.dag_command.DagBag.__init__.__defaults__", tuple(dagbag_default)
        ):
            dag_command.dag_reserialize(self.parser.parse_args(["dags", "reserialize", "--subdir", dag_path]))
        
        with create_session() as session:
            serialized_dags_after_reserialize = session.query(SerializedDagModel).all()
        assert len(serialized_dags_after_reserialize) == 1  
    @mock.patch("airflow.cli.commands.dag_command.DAG.run")
    def test_backfill(self, mock_run):