### 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)

"None",
            "None",
        ]
        for i, dag_id in enumerate(dag_ids):
            dag = self.dagbag.dags[dag_id]
            
            dag.create_dagrun(
                run_type=DagRunType.SCHEDULED,
                execution_date=now,
                start_date=now,
                state=State.FAILED,
            )
            
            args = self.parser.parse_args(["dags", "next-execution", dag_id])
            with contextlib.redirect_stdout(io.StringIO()) as temp_stdout:
                dag_command.dag_next_execution(args)
                out = temp_stdout.getvalue()
            assert expected_output[i] in out
            
            args = self.parser.parse_args(["dags", "next-execution", dag_id, "--num-executions", "2"])
            with contextlib.redirect_stdout(io.StringIO()) as temp_stdout:
                dag_command.dag_next_execution(args)
                out = temp_stdout.getvalue()
            assert expected_output_2[i] in out
        
        with create_session() as session:
            dr = session.query(DagRun).filter(DagRun.dag_id.in_(dag_ids))
            dr.delete(synchronize_session=False)
    @conf_vars({("core", "load_examples"): "true"})
    def test_cli_report(self):