On the Adaptive Buffer-Aided TDMA Uplink System with AoI-Aware Status-Update Services and Timely Throughput Traffics

Area of Science:

• Wireless communication networks
• Information theory
• Optimization algorithms

Background:

• Buffer-aided TDMA uplink networks face challenges in serving heterogeneous devices.
• Balancing data freshness (Age of Information) and throughput is crucial for diverse applications.

Purpose of the Study:

• To develop a joint optimization strategy for minimizing average Age of Information (AoI) and maximizing average sum rate.
• To design an AoI-aware adaptive TDMA uplink scheme for heterogeneous network requirements.

Main Methods:

• Formulation of a joint-optimization problem considering both AoI and sum rate.
• Application of the Lyapunov optimization framework to derive an adaptive TDMA scheme.

Main Results:

• The proposed AoI-aware adaptive TDMA scheme effectively manages heterogeneous service demands.
• Numerical results demonstrate the scheme's ability to balance data freshness and throughput.

Conclusions:

• The AoI-aware adaptive TDMA uplink scheme successfully addresses the conflicting requirements of status-update and throughput-demand devices.
• This approach enhances overall network efficiency and user experience in mixed-service environments.