The emerging mission-critical applications such as automated driving and remote robotics require mobile wireless networks to provide low latency and high reliability. This paper focuses on the design of coded multipath transmission in wireless networks, where both queue state information and channel state information are considered to reduce delay and packet loss. The latency-sensitive premium traffic is mission-critical, and each traffic packet is required to reach the user via multiple edge servers before a tight deadline. To reduce the packet loss due to queue blocking or channel fading, we apply MDS coding to the multipath transmission at the cost of slightly increasing the communication overhead. For homogeneous systems, we derive the optimal code parameter under the assumption of independent traffic at multiple paths. For heterogeneous systems, we propose greedy and greedy+ algorithms for load allocation. Simulation results show that with traffic dependency at multiple paths our proposed greedy+ algorithm outperforms equal allocation in most cases.