### 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)

end_date=args.end_date,
                    confirm_prompt=not args.yes,
                    include_subdags=True,
                    dag_run_state=DagRunState.QUEUED,
                )
            try:
                dag.run(
                    start_date=args.start_date,
                    end_date=args.end_date,
                    mark_success=args.mark_success,
                    local=args.local,
                    donot_pickle=(args.donot_pickle or conf.getboolean("core", "donot_pickle")),
                    ignore_first_depends_on_past=args.ignore_first_depends_on_past,
                    ignore_task_deps=args.ignore_dependencies,
                    pool=args.pool,
                    delay_on_limit_secs=args.delay_on_limit,
                    verbose=args.verbose,
                    conf=run_conf,
                    rerun_failed_tasks=args.rerun_failed_tasks,
                    run_backwards=args.run_backwards,
                    continue_on_failures=args.continue_on_failures,
                    disable_retry=args.disable_retry,
                )
            except ValueError as vr:
                print(str(vr))
                sys.exit(1)
    if len(dags) > 1:
        log.info("All of the backfills are done.")
@cli_utils.action_cli
def dag_trigger(args):