This chapter explores the impact of wireless network performance on the control of robotic teleoperation systems, particularly in terms of pose-mapping teleoperation. With the advancement of information and network technology, wireless networks, including private 5G and Wi-Fi 6, have increased the flexibility and cost-efficiency of robotic systems by simplifying design, installation, and maintenance. However, these networks also introduce transmission delays and communication instability, which can significantly affect the time-sensitive nature of robotic teleoperation. The chapter systematically evaluates the performance of various local wireless networks and examines how these delays influence control performance, discussing network co-design strategies to optimize performance for different requirements. Furthermore, it proposes a cloud server-based virtual network framework for ultra-long-distance, intercontinental teleoperation, enabling human-robot pose mapping over 7800 km from Sweden to China. To mitigate the challenges of motion errors and delays caused by wide-area networks, a feedforward controller is introduced to improve teleoperation control. The proposed framework and controller are verified using a Kinova dual-arm robot platform, demonstrating effective teleoperation over vast distances and improving control stability despite long-distance connectivity issues.