Dynamic Dual-Antenna Time-Slot Allocation Protocol for UAV-Aided Relaying System Under Probabilistic LoS-Channel

Area of Science:

• Wireless Communication
• Aerial Networks
• Resource Management

Background:

• Unmanned Aerial Vehicle (UAV)-aided two-way relaying systems offer improved communication efficiency and reliability.
• Existing Time-Division Multiple Access (TDMA) protocols have rigid resource allocation and inefficient antenna management.
• Simple Line-of-Sight (LoS) channel models in current systems are often inaccurate, impacting performance.

Purpose of the Study:

• To investigate a UAV-assisted two-way relaying system using a more accurate Probabilistic Line-of-Sight (PrLoS) model.
• To propose a novel Dynamic Dual-Antenna Time-Slot Allocation Protocol (DDATSAP) for flexible antenna resource allocation.
• To maximize the minimum average message rate for ground users by optimizing key system parameters.

Main Methods:

• Developed the Dynamic Dual-Antenna Time-Slot Allocation Protocol (DDATSAP) for flexible antenna resource allocation.
• Formulated a joint optimization problem for Resource Scheduling Factor (RSF), transmit power, and UAV trajectory.
• Employed an iterative algorithm combining Successive Convex Approximation (SCA) and Block Coordinate Descent (BCD) techniques to solve the non-convex problem.

Main Results:

• The proposed DDATSAP protocol enables flexible antenna resource allocation for multiple user pairs.
• Joint optimization of RSF, transmit power, and UAV trajectory maximizes the minimum average message rate.
• Numerical simulations confirm the superior performance of the proposed scheme over benchmark systems.

Conclusions:

• The novel DDATSAP protocol effectively addresses limitations of existing TDMA systems in UAV-aided relaying.
• The PrLoS model provides a more accurate representation of the communication environment.
• The proposed optimization and iterative algorithm successfully enhance communication performance in UAV-assisted systems.