Since today’s devices often require several small battery-driven devices and sensors, there is a big need to develop a wireless network for data transmission and power transfer. This will ultimately enable more IIoT (Industrial Internet of Things) sensors, controllers, and mobile communications technologies to make a difference.
To help, a team of researchers from South Korea has developed a new framework by applying SWIPT-aided NOMA to a DAS (distributed antenna system), greatly improving the energy and spectral efficiencies of IIoTs.
Here is how this can help:
- Improve information decoding and energy harvesting performance.
- Provide low power and battery life extension.
- Optimize resource allocation and efficiently perform wireless charging and information transfer.
The group created a three-step iterative algorithm to maximize the energy efficiency of the system. First, they optimized the power allocation for the central IoT controller. Next, the power allocation for NOMA signaling and power splitting assignment for SWIPT were optimized jointly, while minimizing the data rates and harvested energy requirements. Last, the team analyzed an outage event in which the system cannot provide sufficient energy and data rates, which extends the joint power allocation and PS assignment optimization method to the multi-cluster scenario.