Electromagnetic interference-aware transmission scheduling and power control for dynamic wireless access in hospital...

Area of Science:

• Wireless Communication
• Biomedical Engineering
• Computer Science

Background:

• Hospitals face challenges managing wireless spectrum for e-Health and medical devices.
• Ensuring electromagnetic compatibility is crucial for patient safety and device functionality.
• Existing multiple access methods may not adequately address the unique demands of healthcare environments.

Purpose of the Study:

• To address the multiple access problem for e-Health applications coexisting with medical devices in hospitals.
• To maximize spectrum utilization and minimize power consumption for secondary users.
• To ensure electromagnetic interference (EMI) constraints for medical devices and minimum throughput for e-Health applications are met.

Main Methods:

• Formulated the multiple access problem as a dual objective optimization problem, identified as NP-complete.
• Developed a joint scheduling and power control algorithm using a greedy approach.
• Proposed an enhanced greedy algorithm to optimize secondary user scheduling sequences.

Main Results:

• The proposed greedy and enhanced greedy algorithms offer solutions with lower computational complexity compared to optimal methods.
• Simulations demonstrate the trade-offs between spectrum utilization, energy consumption, and computational complexity.
• The enhanced greedy algorithm shows improved performance in scheduling secondary users.

Conclusions:

• Joint scheduling and power control are effective for managing wireless coexistence in hospital environments.
• The proposed algorithms provide efficient solutions for optimizing wireless resource allocation in healthcare settings.
• Further research can explore adaptive strategies for dynamic hospital environments.