ATSC boundary condition fall over to internet
Techniques are described for expanding and/or improving the Advanced Television Systems Committee (ATSC) 3.0 television protocol in robustly delivering the next generation broadcast television services. A receiver, to automatically switch from presenting a service on a first frequency to a second frequency such as when a mobile receiver is moving through a boundary region between two broadcasters, can temporarily use a satellite link or 5G wireless telephony or other over the top (OTT) source to acquire a service until an OTA link satisfies quality requirements.
1 . In digital television (DTV) system in which at least one receiver can receive broadcast signals, a method, comprising:
tuning to a primary DTV service broadcast over-the-air (OTA) from a first OTA transmitter;
presenting the primary DTV service broadcast OTA from the first OTA transmitter;
based on OTA signal degradation, scanning for and identifying a duplicate of the primary DTV service from a wireless transceiver;
executing a machine learning (ML) model to determine whether the duplicate of the primary DTV service from the wireless transceiver meets a dynamic threshold;
based on the duplicate of the primary DTV service from the wireless transceiver meeting the dynamic threshold, acquiring the duplicate of the primary DTV service from the wireless transceiver;
presenting the duplicate of the primary DTV service from the wireless transceiver; and
responsive to acquiring the primary DTV service from a second OTA transmitter, switch from presenting the primary DTV service from the wireless transceiver to presenting the primary DTV service from the second OTA transmitter.
2 . The method of claim 1 , wherein the ML model is a model trained on one or more ground truth parameters correlated to one or more respective ground truth thresholds.
3 . The method of claim 2 , wherein the one or more ground truth parameters comprise one or more quality metric values.
4 . The method of claim 2 , wherein the one or more ground truth parameters comprise one or more transmitter locations.
5 . The method of claim 2 , wherein the one or more ground truth parameters comprise one or more receiver courses.
6 . The method of claim 2 , wherein the one or more ground truth parameters comprise one or more receiver speeds.
7 . The method of claim 2 , wherein the one or more ground truth parameters comprise one or more receiver locations.
8 . The method of claim 2 , wherein the one or more ground truth parameters comprise topography.
9 . A digital television (DTV) apparatus comprising:
at least one digital television (DTV) receiver; and
at least one processor programmed with instructions to configure the processor to:
present a DTV service received from at least a first over-the-air (OTA) DTV transmitter on at least one display;
upon OTA signal degradation, scan for and identify the DTV service from a wireless transceiver;
execute a machine learning (ML) model to determine whether the DTV service from the wireless transceiver meets a dynamic threshold;
based on the DTV service from the wireless transceiver meeting the dynamic threshold, acquiring the DTV service from the wireless transceiver;
present the DTV service acquired from the wireless transceiver on the display; and
responsive to acquiring the DTV service from a second OTA transmitter, switch from presenting the DTV service acquired from the wireless transceiver to presenting the service acquired from the second OTA transmitter.
10 . The DTV apparatus of claim 9 , wherein the ML model is a model trained on one or more ground truth parameters correlated to one or more respective ground truth thresholds.
11 . The DTV apparatus of claim 10 , wherein the one or more ground truth parameters comprise one or more quality metric values.
12 . The DTV apparatus of claim 10 , wherein the one or more ground truth parameters comprise one or more transmitter locations.
13 . The DTV apparatus of claim 10 , wherein the one or more ground truth parameters comprise one or more receiver speeds.
14 . The DTV apparatus of claim 10 , wherein the one or more ground truth parameters comprise one or more receiver locations.
15 . The DTV apparatus of claim 10 , wherein the one or more ground truth parameters comprise topography.
16 . A device comprising:
at least one computer storage that is not a transitory signal and that comprises instructions executable by at least one processor to:
present a digital television (DTV) service from at least a first over-the-air (OTA) DTV transmitter;
scan for and identify the DTV service from a second OTA DTV transmitter;
execute a machine learning (ML) model to determine whether the DTV service from the second OTA DTV transmitter meets a dynamic threshold;
based on the DTV service from the second OTA DTV transmitter meeting the dynamic threshold, acquiring the DTV service from the second OTA DTV transmitter; and
based on acquiring the DTV service from the second OTA DTV transmitter, presenting the DTV service from the second OTA transmitter.
17 . The device of claim 16 , wherein the ML model is a model trained on one or more ground truth parameters correlated to one or more respective ground truth thresholds.
18 . The device of claim 17 , wherein the one or more ground truth parameters comprise one or more quality metric values.
19 . The device of claim 17 , wherein the one or more ground truth parameters comprise one or more transmitter locations.
20 . The DTV apparatus of claim 17 , wherein the one or more ground truth parameters comprise one or more receiver speeds.