proposed time slots | proposed time slots

The Time Division Multiple Access (TDMA) scheme has been proposed as the one which assures real-time messaging in a networking system.

If the proposed time doesn't fit your schedule, feel free to suggest alternative time slots.

In recent years, the significant development of 5G and beyond networks has led to a notable increase in user demand for up/downlink data rates in mobile communication systems, giving rise to challenges due to the limited availability of radio resources. To address this issue, an effective up/downlink time slots allocation has been investigated in dynamic time division duplex (TDD) based mobile wireless networks. We propose a novel method leveraging the proximal policy optimization (PPO) algorithm, a state-of-the-art technique in deep reinforcement learning, to intelligently schedule up/downlink TDD time slots. The proposed algorithm dynamically assigns up/downlink time slots in response to the changing numbers of up/downlink requests, diverse quality of service (QoS) requirements, and mobility scenarios, aiming to maximize both uplink and downlink sum-rates while ensuring minimum up/downlink data rates are satisfied. Simulation results demonstrate that the proposed algorithm achieves a superior network performance in terms of the data sum-rate compared to other benchmark approaches in dynamic TDD networks.