Signal to Insight

Cat-M Didn't Struggle at Scale - LTE Scheduling Wasn't Built for Machines Cat-M · LTE IoT · Scheduling · 7 min read When Cat-M began moving from pilot deployments into production scale, a pattern emerged that didn't fit the usual coverage or capacity narratives. Devices were reachable. Signal levels were acceptable. Yet registrations were slow, inconsistent, and sometimes unpredictable in ways that drive-test campaigns and lab tests never surfaced. The instinctive reaction was to look at radio conditions or device behavior. The issue sat deeper — in how LTE networks had been optimized long before machine traffic became meaningful. LTE schedulers were built with one dominant assumption: human traffic dominates the network. Cat-M exposed what that assumption cost at scale. Where the friction came from Phones behave in bursts, adapt quickly, and tolerate retries. The network was tuned around that tolerance. Machines have different expectations: short transmiss...