Deployment of Drone-Based Small Cells for Public Safety Communication System

Abstract

In the event of a natural disaster, communications infrastructure plays an important role in organizing effective rescue services. However, the infrastructure-based communications are often affected during severe disaster events such as earthquakes, landslides, floods, and storm surges. Addressing this issue, the paper proposes a novel drone based cellular infrastructure to revive necessary communications for out-of-coverage User Equipment (UE) who is in the disaster area. In particular, a matching game algorithm is proposed using one-to-many approach wherein several Drone Small Cells (DSCs) are deployed to match different UEs to reach a stable connection with optimal throughput. In addition, a Medium Access Control (MAC) framework is then developed to optimize emergency and high priority communications initiated from the rescue workers and vulnerable individuals. The simulation results show that the throughput for the outof-coverage UEs are significantly improved when the DSCs are deployed in public safety network while the channel access delay is also notably reduced for emergency communications within the affected areas.

Connectivity and collision constrained opportunistic routing for emergency communication using UAV

“…Under condition (9), successful data transmission between UAVs is feasible when their remaining energy levels exceed the defined threshold (δ th ). Constraint (10) stipulates the reliability criteria for connectivity, demanding a signal-to-interference ratio higher than or equal to the predefined threshold (θ th ). Constraint (11) dictates collision prevention, requiring UAVs to relocate randomly if collision probability exceeds a specific threshold (φ th ) to avert physical contact.The Q learning a reinforcement learning method is adopted to optimize the parameters in (8) and dynamically learn the most suitable routing mechanism for data transfer between the UAVs and GCS.…”

A Comprehensive Survey of Emergency Communication Network and Management

“…The optimal deployment of UAV is a complex problem in the present scenario where multiple UAVs have to follow different paths to cover different regions in an area in order to maximize the network utility function. Optimal deployment of UAVs as a drone BS for public safety operation is a promising and attractive approach [125]. In public safety and emergency communication, fast deployment of UAV confirming user density, data rate and area coverage is a challenging problem which needs to be addressed.…”

Establishing effective communications in disaster affected areas and artificial intelligence based detection using social media platform

“…The centralized hierarchy supported by the legacy cellular systems is especially affected in the areas in need of rescue services. Therefore, decentralized emergency communication frameworks are required to offer necessary feedback communication within the affected areas [37]. Most of the existing efforts in restoring disaster affected communications require deployment of remote BSS which restricts the suitability of such communication networks.…”