Optimal UAV Deployment and Resource Management in UAV Relay Networks.

Area of Science:

• Wireless communication networks
• Network optimization
• 5G communication systems

Background:

• Unmanned Aerial Vehicle (UAV) relay networks offer solutions for 5G requirements like enhanced Mobile Broadband (eMBB) and massive Machine Type Communications (mMTC).
• UAVs as relay nodes improve connectivity, extend base station (BS) coverage, and boost throughput using line-of-sight (LOS) channels.
• Existing methods struggle with analytical solutions for joint UAV deployment and resource allocation.

Purpose of the Study:

• To maximize user equipment (UE) throughput within a cell while ensuring reliable transmission for UEs outside BS coverage.
• To develop a practical algorithm for joint UAV deployment and resource allocation in UAV relay networks (URNs).

Main Methods:

• Formulation of joint UAV deployment and resource allocation problems.
• Proposal of a fast, sequential algorithm to determine optimal transmit time slots and UAV relay locations.
• Pre-determination of base station (BS) and UAV transmit power based on Channel State Information (CSI).

Main Results:

• The proposed algorithm provides optimal solutions for transmit time slots and UAV relay locations.
• Simulation results show significant reductions in computational effort and complexity compared to exhaustive search.
• The algorithm effectively balances throughput maximization and reliable transmission guarantees.

Conclusions:

• The developed algorithm offers an efficient and practical approach for optimizing UAV relay networks.
• This method significantly reduces the complexity of determining optimal UAV deployment and resource allocation.
• The findings support the use of UAVs for enhancing 5G network performance.