### 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.test(execution_date=execution_date, run_conf=run_conf, session=session)
    show_dagrun = args.show_dagrun
    imgcat = args.imgcat_dagrun
    filename = args.save_dagrun
    if show_dagrun or imgcat or filename:
        tis = (
            session.query(TaskInstance)
            .filter(
                TaskInstance.dag_id == args.dag_id,
                TaskInstance.execution_date == execution_date,
            )
            .all()
        )
        dot_graph = render_dag(dag, tis=tis)
        print()
        if filename:
            _save_dot_to_file(dot_graph, filename)
        if imgcat:
            _display_dot_via_imgcat(dot_graph)
        if show_dagrun:
            print(dot_graph.source)
@provide_session
@cli_utils.action_cli
def dag_reserialize(args, session: Session = NEW_SESSION):
    """Serialize a DAG instance."""
    session.query(SerializedDagModel).delete(synchronize_session=False)
    if not args.clear_only:
        dagbag = DagBag(process_subdir(args.subdir))
        dagbag.sync_to_db(session=session)