Inventor of LoRa talks about the future of LoRa
summary
Claims concrete experiments and code: indoor picocell tests push 1 million packets per 0.16 km² with 96% packet success using eight femtocells, showing huge uplink capacity; geolocation uses LoRa time‑based triangulation as a coarse layer then on‑device AI to pick GNSS or Wi‑Fi fixes; a compact open LoRaWAN stack called Mini‑Mouse 6KB C++ stack is released; work includes a streaming‑coding uplink repair, OTA patching packages and a proposed packet broker publish/subscribe that routes and credits time‑on‑air.
AI-written summary · about
chapters (17)
- 0:00Intro
- 2:45Geolock
- 6:35Localization
- 11:00News
- 15:50No missing points
- 17:37Energy harvesting
- 18:45New network deployments
- 19:12Femtocell
- 19:33Capacity of network
- 20:03Reallife testing
- 21:20Advantages
- 22:45Publishsubscribe
- 23:47Broker
- 24:37Challenges
- 26:02Satellites
- 26:48Innovation
- 28:04Questions
related talks
21mClosed loop tracking
25mUpdate on 2.4Ghz LoRaWAN
15mThe latest advancements in the LoRa product portfolio
27mReal-world Success Stories with LoRa
24mBridging Technologies: Multi-Connectivity in IoT
36mBuilding LPWAN Solutions that last for Years
28mThe past, present and future of the LoRaWAN standard
12mThe vision of LoRa market