PPO-based Reliable Concurrent Transmission Control for Telemedicine Real-time Services

Telemedicine services put forward high transmission demands for network transmission, such as low latency and high throughput. However, telemedicine services suffer undesirable latency due to the high re-transmission probability caused by congestion and queuing. To reduce the probability of re-transmission, this paper firstly proposes in-band network telemetry (INT)-based delay-guaranteed transmission framework (IDTF) to make concurrent transmission control. In IDTF, we propose a proximal policy optimization (PPO)-based adaptive multipath concurrent flow scheduling algorithm (PAMA) for control policy adjustment. In detail, PAMA makes a joint minimum optimization with flow scheduling and network resource management to reduce the probability of congestion and long-time queuing. Finally, we implement extensive simulations on a programming protocol-independent packet processors (P4)-based programmable network platform to perform performance analysis. Simulation results show that PAMA outperforms existing classical algorithms in re-transmission rate, round-trip time, and throughput.