ProRATE: Obtaining the potential throughput from the system view in two-way relay networks

The wireless condition is time-varying and difficult to predict, especially in two-way relay networks (TWRN) with physical-layer network coding (PLNC) performed. This paper proposes a prompt and optimized rate adaptation algorithm (ProRATE) in this situation, which performs the real-time rate adaptation based on data-flows instead of point-to-point links. By using the signal dispersions and the history of the ratio of successfully decoded units, ProRATE adjusts the transmission rates of the terminal nodes into a matching state, thus increases the system throughput. Simulation results verify the effectiveness of ProRATE by showing that it brings outstanding end-to-end throughput gain over the conventional statistical-SNR-based rate adaptation. Moreover, as a byproduct, the jitter of BER of the whole system has been alleviated.