面向触觉通信的预测窗口和计算卸载策略优化

Optimization of Prediction Window and Computing Offloading Strategy for Haptic Communication

构建了联合预测和边缘计算的触觉通信框架,明确了时延和能耗之间的折中关系,并定义了发送者的预测效益。以总预测效益最大化为目的,构建了多发送者的预测窗口和计算卸载策略联合优化问题。为便于求解,将该优化问题转化为多发送者预测与计算卸载博弈,并提出了一种基于最优响应的预测与计算卸载联合优化算法以收敛纳什均衡解。仿真结果表明,所提算法可以获得近乎最优的预测窗口和计算卸载策略。

A joint prediction and edge computing framework for haptic communications is constructed.The tradeoff between delay and energy consumption is clarified,and the prediction benefit of the transmitter is defined.In order to maximize the sum prediction benefit,a joint optimization problem of multi-transmitter prediction window and computing offloading strategy is constructed.Then,the optimization problem is transformed into a multi-transmitter prediction and computing offloading game,and a joint optimization algorithm of prediction and computing offloading based on the best response is proposed to converge to the Nash equilibrium.Simulation results show that the proposed algorithm can achieve near-optimal performance.