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Related Experiment Video

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

Ping Huang¹, Jie Lin¹, Tong Liu¹

¹The College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu 610059, China.

Sensors (Basel, Switzerland)

|December 31, 2025

Summary

This study introduces a new protocol for Unmanned Aerial Vehicle (UAV)-assisted two-way relaying systems. The Dynamic Dual-Antenna Time-Slot Allocation Protocol (DDATSAP) enhances communication efficiency and reliability for multiple users.

Keywords:

UAV communications non-convex optimization resource scheduling trajectory optimization two-way relay

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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.