AI Article Synopsis
- The paper introduces maximal ratio transmission (MRT) and maximal ratio combining (MRC) protocols for wireless powered sensor networks assisted by power beacons (PB), focusing on how imperfect channel state information (CSI) affects network performance.
- It details the decision-making process of sensors to either transmit data or harvest energy based on their current energy levels and provides a mathematical framework to analyze energy dynamics and capacities.
- Findings suggest that increasing the number of antennas enhances transmit probability and ergodic capacity, while poor channel correlation factors can diminish performance; optimizing sensor transmit power also contributes positively to overall capacity.
Article Abstract
This paper proposes the maximal ratio transmission (MRT) and maximal ratio combining (MRC) protocols for the power beacon (PB) assisted wireless powered sensor networks and analyzes the impact of the imperfect channel state information (CSI) on the performance using the Markov chain theory. The wireless powered sensor chooses to transmit information to the destination or harvest energy from the PB when its energy can or cannot supply a transmission, respectively. The energy arrival and departure of the sensor is characterized, and the analytical expressions of the network transmit probability, and effective and overall ergodic capacities are formulated and derived. We also optimize the sensor transmit power to maximize the overall ergodic capacity. Our results reveal that the transmit probability and the effective ergodic capacity can be greatly improved with increasing the number of antennas at the PB and the destination, and can also be significantly degraded by decreasing the channel correlation factors. We also demonstrate the effectiveness of the sensor transmit power optimization in improving the overall ergodic capacity.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413169 | PMC |
| http://dx.doi.org/10.3390/s19040882 | DOI Listing |
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