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The relentless development of the Internet of Things (IoT) communicationtechnologies and the gradual maturity of Artificial Intelligence (AI) have ledto a powerful cognitive computing ability. Users can now access efficient andconvenient smart services in smart-city, green-IoT and heterogeneous networks.AI has been applied in various areas, including the intelligent household,advanced health-care, automatic driving and emotional interactions. This paperfocuses on current wireless-communication technologies, includingcellular-communication technologies (4G, 5G), low-power wide-area (LPWA)technologies with an unlicensed spectrum (LoRa, SigFox), and other LPWAtechnologies supported by 3GPP working with an authorized spectrum (EC-GSM,LTE-M, NB-IoT). We put forward a cognitive low-power wide-area-network(Cognitive-LPWAN) architecture to safeguard stable and efficient communicationsin a heterogeneous IoT. To ensure that the user can employ the AI efficientlyand conveniently, we realize a variety of LPWA technologies to safeguard thenetwork layer. In addition, to balance the demand for heterogeneous IoT deviceswith the communication delay and energy consumption, we put forward theAI-enabled LPWA hybrid method, starting from the perspective of trafficcontrol. The AI algorithm provides the smart control of wireless-communicationtechnology, intelligent applications and services for the choice of differentwireless-communication technologies. As an example, we consider the AIWACemotion interaction system, build the Cognitive-LPWAN and test the proposedAI-enabled LPWA hybrid method. The experimental results show that our schemecan meet the demands of communication-delay applications. Cognitive-LPWANselects appropriate communication technologies to achieve a better interactionexperience.

Cognitive-LPWAN: Towards Intelligent Wireless Services in Hybrid Low Power Wide Area Networks