Backscatter-Aware Antenna Selection for Reliable WSNs
Analysis
This paper addresses a critical challenge in hybrid Wireless Sensor Networks (WSNs): balancing high-throughput communication with the power constraints of passive backscatter sensors. The proposed Backscatter-Constrained Transmit Antenna Selection (BC-TAS) framework offers a novel approach to optimize antenna selection in multi-antenna systems, considering link reliability, energy stability for backscatter sensors, and interference suppression. The use of a multi-objective cost function and Kalman-based channel smoothing are key innovations. The results demonstrate significant improvements in outage probability and energy efficiency, making BC-TAS a promising solution for dense, power-constrained wireless environments.
Key Takeaways
- •Proposes a novel Backscatter-Constrained Transmit Antenna Selection (BC-TAS) framework.
- •Addresses the conflict between high-throughput communication and power constraints in hybrid WSNs.
- •Employs a multi-objective cost function for antenna selection.
- •Incorporates Kalman-based channel smoothing for robustness.
- •Demonstrates significant improvements in outage probability and energy efficiency.
“BC-TAS achieves orders-of-magnitude improvement in outage probability and significant gains in energy efficiency compared to conventional MU-MIMO baselines.”