Abstract : In wireless network environment simulation, determining which nodes are covered by the signal requires polling one by one, and the simulation speed is directly affected by the efficiency of the polling algorithm. Furthermore, wireless signal simulation often uses formula modeling, which is ineffective for simulating real-world scenarios. This paper first proposes a prototype network simulation scheme based on a high-speed collision detection algorithm. The physical simulation part of the simulation system is modularly abstracted and established as a separate physical engine layer below the physical layer. It relies entirely on a general-purpose coprocessor-graphics card for processing, and the applicability of the coprocessor is analyzed in detail. Finally, a simulation example verifies the feasibility of the scheme. Furthermore, it proposes a solution using the increasingly mature CUDA™ coprocessor platform to shorten simulation time and simultaneously achieve high-speed simulation of various physical phenomena of 3D scenes and radio waves. Keywords: Wireless network simulation; Collision detection; Color detection algorithm; Signal coverage area customization; Coprocessor 1. Introduction Many methods have been proposed for verifying the correctness of network design layout and conducting related performance tests. Currently, the most widely used method is virtual simulation using simulation software. NS2 and Opnet are among the most popular network simulation software programs. They support numerous protocols and can simulate not only complex wired networks but also various wireless networks in typical environments, including the increasingly popular wireless ad hoc networks and wireless sensor networks. Through formulaic modeling and modular development, along with plug-and-play installation, they can also simulate the ever-evolving landscape of new networks. Unlike wired networks with their relatively fixed sender-receiver relationships and link states, wireless networks experience constant changes in their topology and link states over time. Accurate simulation using traditional methods is impractical due to both the difficulty and cost. Therefore, the physical simulation of wireless networks using NS2 and Opnet is limited to calculating receiver signal strength by substituting parameters such as transmitter power, antenna gain, antenna height, channel attenuation, and node distance into the receiver signal strength calculation formula. The simulation's accuracy is heavily influenced by the parameters and formulas, and it concludes that the reception range is circular, consistent with real-world signal transmission unaffected by environmental factors. Download the full text of "Coprocessor-based Wireless Network Channel Simulation Engine"