Enhanced Dynamic Spectrum Access in UAV Wireless Networks for Post-Disaster Area Surveillance System: A Multi-Player...

Area of Science:

• Wireless Communications
• Network Engineering
• Disaster Management

Background:

• Modern wireless networks face spectrum scarcity due to dense, uncoordinated, and selfish user behavior.
• Dynamic Spectrum Access (DSA) systems offer a solution to spectrum scarcity.
• Unmanned Aerial Vehicles (UAVs) integrated with Cognitive Radio Networks (CRNs) can enhance post-disaster surveillance by utilizing available spectrum.

Purpose of the Study:

• To address the joint problem of transmission power selection, data-rate maximization, and interference mitigation in a UAV-based post-disaster surveillance system.
• To investigate this problem as a decentralized, budget-constrained multi-player multi-armed bandit (MAB) problem.
• To propose novel power-budget-aware MAB algorithms for efficient transmission power selection.

Main Methods:

• The study models the problem as a budget-constrained multi-player multi-armed bandit (MAB) problem.
• Two decentralized power-budget-aware MAB algorithms, PBA-UCB and PBA-TS, are proposed.
• These algorithms enable UAVs to efficiently select transmission power without inter-UAV communication.

Main Results:

• The proposed PBA-MAB algorithms demonstrate superior performance compared to random power selection.
• Significant improvements in achievable data rates were observed.
• The algorithms effectively manage conflicting parameters like power budget, data rate, and interference.

Conclusions:

• Decentralized power-budget-aware MAB algorithms are effective for UAV-based CRN surveillance systems.
• The proposed PBA-UCB and PBA-TS algorithms provide an efficient solution for spectrum resource management in post-disaster scenarios.
• This approach enhances data rates and optimizes spectrum utilization in challenging wireless environments.